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Tag: Statistics

  • [Solved] intermediate statistics

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  • [Solved] Statistics journal

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  • [Solved] Prof Double R

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    ## Overview In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods. ## Scenario You have been hired by your regional real estate company to determi…

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    ## Overview
    In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.
    ## Scenario
    You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:
    1. Are housing prices in your regional market lower than the national market average?
    2. Is the square footage for homes in your region different than the average square footage for homes in the national market?
    3. For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?
    You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.
    ## Directions
    **Introduction**
    1. **Region:** Start by picking one region from the following list of regions:
    West South Central, West North Central, East South Central, East North Central, Mid Atlantic
    2. **Purpose:** What is the purpose of your analysis?
    3. **Sample:**Define your sample. Take a random sample of 500 house sales for your region.
    1. Describe what is included in your sample (i.e., states, region, years or months).
    4. **Questions and type of test:** For your selected sample, define two hypothesis questions (see the Scenario above) and the appropriate type of test for each. Address the following _for each hypothesis_:
    1. Describe the population parameter for the variable you are analyzing.
    2. Describe your hypothesis in your own words.
    3. Identify the hypothesis test you will use (1-Tail or 2-Tail).
    5. **Level of confidence:** Discuss how you will use estimation and confidence intervals to help you solve the problem.
    **1-Tail Test**
    1. **Hypothesis:**Define your hypothesis.
    1. Define the population parameter.
    2. Write null (Ho) and alternative (Ha) hypotheses. **Note:** For means, define a hypothesis that _is less than_ the population parameter.
    3. Specify your significance level.
    2. **Data analysis:**Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.
    1. Provide at least one histogram of your sample data.
    2. In a table, provide summary statistics including sample size, mean, median, and standard deviation. **Note:** For quartiles 1 and 3, use the quartile function in Excel:
    =QUARTILE([data range], [quartile number])
    3. Summarize your sample data, describing the center, spread, and shape in comparison to the national information (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). **Note:** For shape, think about the distribution: skewed or symmetric.
    4. Check the conditions.
    1. Determine if the normal condition has been met.
    2. Determine if there are any other conditions that you should check and whether they have been met. **Note:** Think about the central limit theorem and sampling methods.
    3. **Hypothesis test calculations:**Complete hypothesis test calculations.
    1. Calculate the hypothesis statistics.
    1. Determine the appropriate test statistic ( _t_). **Note:** This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.
    2. Calculate the probability ( _p_ value). **Note:** This calculation is done with the T.DIST function in Excel:
    =T.DIST([test statistic], [degree of freedom], True) The degree of freedom is calculated by subtracting 1 from your sample size.
    4. **Interpretation:**Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.
    1. Relate the _p_ value and significance level.
    2. Make the correct decision (reject or fail to reject).
    3. Provide a conclusion in the context of your hypothesis.
    **2-Tail Test**
    1. **Hypotheses:**Define your hypothesis.
    1. Define the population parameter.
    2. Write null and alternative hypotheses. **Note:** For means, define a hypothesis that is _not equal to_ the population parameter.
    3. State your significance level.
    2. **Data analysis:**Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.
    1. Provide at least one histogram of your sample data.
    2. In a table, provide summary statistics including sample size, mean, median, and standard deviation. **Note:** For quartiles 1 and 3, use the quartile function in Excel:
    =QUARTILE([data range], [quartile number])
    3. Summarize your sample data, describing the center, spread, and shape in comparison to the national information. **Note:** For shape, think about the distribution: skewed or symmetric.
    4. Check the assumptions.
    1. Determine if the normal condition has been met.
    2. Determine if there are any other conditions that should be checked on and whether they have been met. **Note:** Think about the central limit theorem and sampling methods.
    3. **Hypothesis test calculations:**Complete hypothesis test calculations.
    1. Calculate the hypothesis statistics.
    1. Determine the appropriate test statistic ( _t_). **Note:** This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.]
    2. Determine the probability (p value). **Note:** This calculation is done with the TDIST.2T function in Excel:
    =T.DIST.2T([test statistic], [degree of freedom]) The degree of freedom is calculated by subtracting 1 from your sample size.
    4. **Interpretation:** Interpret your hypothesis test results using the _p_ value method to reject or not reject the null hypothesis.
    1. Compare the _p_ value and significance level.
    2. Make the correct decision (reject or fail to reject).
    3. Provide a conclusion in the context of your hypothesis.
    5. **Comparison of the test results:**Revisit Question 3 from the Scenario section: For your region, what is the range of values for the 95% confidence interval of square footage for homes?
    1. Calculate and report the 95% confidence interval. Show or describe your method of calculation.
    **Final Conclusions**
    1. **Summarize your findings:** In one paragraph, summarize your findings in clear and concise plain language.
    2. **Discuss:** Discuss whether you were surprised by the findings. Why or why not?
    \
    MAT240HouseListingPricebyRegion1.xlsx](https://www.sweetstudy.com/files/mat240houselistingpricebyregion1-xlsx-10325835 "MAT240HouseListingPricebyRegion1.xlsx")
    \
    MAT240ProjectTwoTemplate.docx](https://www.sweetstudy.com/files/mat240projecttwotemplate-docx-10325837 "MAT240ProjectTwoTemplate.docx")

  • [Solved] accounting

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    In-depth study guidance and analytical solution covering accounting.

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  • [Solved] STATISTICS1OF2WK

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    Your work on the new student committee was a huge success! The director of new student recruitment has requested that you continue your work on the committee. Specifically, the director would like you to distribute a small survey to the students who attended the weekend event, gauging their level of…

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    Your work on the new student committee was a huge success! The director of new student recruitment has requested that you continue your work on the committee. Specifically, the director would like you to distribute a small survey to the students who attended the weekend event, gauging their level of interest in studying at UGC. The director is interested in obtaining demographic information from the prospective students, the academic program into which they would enroll, and their overall level of interest in attending UGC. The survey questions and results are below:
    **Survey questions given to prospective students**
    – **What      is your age?**
    – **Would      you live in on-campus housing or off-campus housing?**
    – **Into      which academic program would you enroll?**
    – **How      likely are you to attend UGC in the next year? (Rate: 1–4, 1 is not likely      and 4 is very likely)**
    Survey
    **Student**
    **Age**
    **Housing**
    **Academic Program**
    **Likely to attend UGC**
    1
    18
    Off campus
    Political science
    4
    2
    19
    Off campus
    History
    1
    3
    17
    On campus
    Cybersecurity
    2
    4
    30
    Off campus
    Nursing
    4
    5
    18
    On campus
    History
    3
    6
    21
    On campus
    Psychology
    4
    7
    45
    Off campus
    Business
    2
    8
    20
    On campus
    Business
    3
    9
    18
    On campus
    Accounting
    4
    10
    36
    Off campus
    Nursing
    4
    11
    25
    Off campus
    History
    2
    12
    29
    Off campus
    Sociology
    2
    13
    31
    Off campus
    Spanish
    2
    14
    19
    On campus
    Psychology
    2
    Your first task is to define the data resulting from each survey question as qualitative or quantitative. If the variable is qualitative, indicate if it is nominal or ordinal. If it is quantitative, indicate whether it is discrete or continuous and whether it is interval or ratio (see graphic below).
    Next, create a table (a frequency distribution, stem and leaf plot, or a grouped frequency distribution) to organize the data from one of the variables. Include the table in your post. Does including the relative frequency or cumulative frequency make the table more meaningful? Why do you feel this table best organizes the data?
    Then, consider how you might visually display the results as a graph (bar graph, Pareto chart, dot plot, line graph, histogram, pie chart, or box plot). Include the graph in your post. Why did you choose this graph? Explain why you believe this graph is the best choice to display the data.
    Finally, find the mean, median, and mode for _one_ of the variables. Which of these measures of central tendency do you think is the best choice for "average" and why? Find the range and standard deviation (measures of dispersion) for the variable. What would a narrower or wider deviation signify in the context of this data?
    Your initial post to the discussion (covering the four tasks above) is due by 21ST 11:59 p.m. EST on Saturday.
    Consider the graphs/charts and measures of central tendency and dispersion that your peers have chosen. Do they align with your choices? Discuss at least one benefit of your peers' choices. Can you share a recommendation to improve their choices?
    \
    STATISTICS42.docx](https://www.sweetstudy.com/files/statistics42-docx-10328579 "STATISTICS42.docx")

  • [Solved] STATISTICS

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    Probability tells us the chance or likelihood that a particular event will occur. Whether or not we realize it, every day we use probability to make decisions. For instance, when deciding whether to take an umbrella, we check the weather forecast to see the probability that it will rain. In this ins…

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    Probability tells us the chance or likelihood that a particular event will occur. Whether or not we realize it, every day we use probability to make decisions. For instance, when deciding whether to take an umbrella, we check the weather forecast to see the probability that it will rain. In this instance, probability tells us the likelihood that it will rain; however, the decision about taking an umbrella is based on an individual's willingness to risk getting rained on. Some people will take an umbrella when the probability of rain is at least 40%, while others will wait until the probability is at least 60%.
    What are two examples of when you have used probability to make a decision? One example should be from your personal life and one from your work life. If you do not work, show two examples from your personal life. Provide specific numeric values to show how you made the decision. Share this information in your initial post to the discussion.

  • [Solved] Final statistics

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    Help organizing thoughts for final paper

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  • [Solved] Statistics

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    How do I know which analysis test to use? – ## UWAED506FinalProjects25SU1.docx – IMG_0619.png – IMG_0618.png **## UWAED506FinalProjects25SU1.docx** ![](https://www.sweetstudy.com/questions/statistics-20923579) ## Final Projects ### overview of survey and data A researcher has administered an anxie…

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    How do I know which analysis test to use?

    – ## UWAED506FinalProjects25SU1.docx

    – IMG_0619.png
    – IMG_0618.png

    **## UWAED506FinalProjects25SU1.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20923579)

    ## Final Projects

    ### overview of survey and data

    A researcher has administered an anxiety survey to students enrolled in graduate level statistics courses. The survey included three subscales related to statistics anxiety: (a) interpretation anxiety, (b) test anxiety, and (c) fear of asking for help. The survey also included three subscales related to attitude toward statistics. For the items that comprised the scales, students were asked to respond using a 5 point Likert-type scale. Higher scores on the anxiety subscales implied higher levels of anxiety, and higher scores on the attitude subscales implies a more positive attitude toward statistics.

    In addition to the statistics anxiety subscales, the survey contained a subscale related to the use of statistical software and a subscale related to self-perceived confidence concerning general computer use. Students responded to items on the statistical software subscale using a response range from (1) Strongly Disagree to (7) Strongly Agree. For the computer confidence subscale, students responded to items using a range from (1) Strongly Disagree to (5) Strongly Agree. For each of these subscales, higher scores implied higher levels of confidence.

    The researcher determined the score for each subscale by computing the mean response for the items associated with the subscale. This technique resulted in subscales that had the same possible range and the items that made up the subscale.

    A subsample of the researcher’s dataset contains the following variables that should be used for completing the four final projects. You can find this data in the Final Project Folder. The variables included in the dataset are:

    | | | |
    | — | — | — |
    | Variable name: | Label: | Values: |
    | gender | Gender | 1: Female<br>2: Male |
    | race | Ethnicity | 1: White<br>2: Non-White |
    | age | | |
    | courses | Number of online courses completed | 1: 0-2 courses<br>2: 3-7 courses<br>3: 8 or more courses |
    | tca | Test and class anxiety | |
    | interpret | Interpretation anxiety | |
    | help | Fear of asking for help | |
    | worth | Worth of statistics | |
    | csc | Computational self-concept | |
    | teacher | Fear of statistics teachers | |
    | software | Confidence in using statistical software | |
    | computer | Attitude toward computers and the internet | |

    ### Project 1

    First, the researcher wants to get a better understanding of his data. This is always a wise first step. Use SPSS and your knowledge of descriptive statistics to answer the following questions about
    _confidence using statistical software_ subscale.

    Remember to round your answers to the nearest hundredth place for all descriptive statistics. Failure to round will result in a deduction of points.

    ### Questions

    1. (1 pt) What is the value of the sample size for this analysis?

    2. (1 pt) What is the mean
    _confidence using statistical software_ rating for this sample?

    3. (1 pt) What is the median
    _confidence using statistical software_ rating for this sample?

    4. (1 pt) What is the mode of
    _confidence using statistical software_ for this sample?

    5. (1 pt) What is the lowest
    _confidence using statistical software_ rating for this sample?

    6. (1 pt) What is the highest
    _confidence using statistical software_ rating for this sample?

    7. (1 pt) What is the value of the range?

    8. (1 pt) What is the value of the standard deviation?

    9. (1 pt) What is the value of the skewness statistic?

    10. (1pt) What is the value of the variance?

    11. (1 pt) What is the values of the 25th percentile?

    12. (1 pt) What is the value of the 75th percentile?

    13. (Bonus 1 pt) Compose a research question relating to your daily life/work that you would be interested in answering with statistics.

    14. (6 pts) Present the results as they might appear in an article. This must include a table and narrative statement that provides a thorough description of the central tendency and distribution of the students’
    _confidence using statistical software_.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 2

    Next, the researcher wants to know if there is a difference in male and female students’ mean
    _computational self-concept._ Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the following questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2pts) What is the appropriate analysis for determining the difference in mean levels of
    _computational self-concept_ of the two independent groups, female and male students?

    2. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    3. (2 pts) What are the mean and standard deviation for female students’ ratings of their
    _computational self-concept?_

    4. (2 pts) What are the mean and standard deviation for male students’ ratings of their
    _computational self-concept_?

    5. (1 pt) What is the observed or computed value of the test statistic used to determine the difference in the two group’s mean ratings of their
    _computational self-concept_?

    6. (1 pt) What is the value of the degrees of freedom that are reported in the output?

    7. (1 pt) What is the reported level of significance?

    8. (1 pt) Based on the reported level of significance, would you reject the null hypothesis?

    9. (1 pt) Based on the results of the analysis, is the difference in male and female students’ ratings of their
    _computational self-concept_ statistically significant?

    10. (6 pts) Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of the analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 3

    Now, the researcher wants to know if mean student ratings of their
    _fear of asking for help_ differ based on the number of online courses they have completed. Students have been divided into three groups based on the number of courses they have taken. Those groups are 1) Students who have taken 0-2 courses, 2) Students who have taken 3-7 courses, and 3) Students who have taken 8 or more online courses. Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2 pts) What is the appropriate analysis for examining differences among the three groups’ mean ratings of their
    _fear of asking for help_?

    1. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    1. (3 pts) What is the mean rating of the
    _fear of asking for help_ for each group?

    1. (3 pts) What is the standard deviation for each group?

    1. (1 pt) What is the observed or computed value of the test statistic testing for differences in ratings of the
    _fear of asking for help_ amongst the three groups?

    1. (1 pt) What are the reported degrees of freedom for the Between Groups variance?

    1. (1 pt) What are the reported degrees of freedom for the Within Groups variance?

    1. (1 pt) What is the reported level of significance?

    1. (1 pt) Based on the results of the LSD post hoc test, which groups [if any] reported significantly different levels of
    _fear of asking for help_?

    1. (4 pts) Present the results as they might appear in an article. This must include a table that reports the results of the analysis and narrative statement that reports and interprets the results of the analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 4

    Finally, the researcher wants to know if there is a relationship between students’
    _ages_ and their reported levels of
    _test and class anxiety_. Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2 pt) What is the appropriate analysis for examining the relationship between students’
    _ages_ and their
    _test and class anxiety_?

    1. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    1. (2 pts) What is the mean and standard deviation for students’ reported
    _ages_?

    1. (2 pts) What is the mean and standard deviation for students’ ratings of their
    _test and class anxiety?_

    1. (1 pt) What is the value of the statistic representing the relationship between students’
    _ages_ and their
    _test and class anxiety_?

    1. (1 pt) Based on the value of the statistic identified in the previous question, how would you classify the
    strength of this relationship?

    1. (1 pt) Using the same statistic, how would you classify the
    direction of the relationship?

    1. (1 pt) What is the appropriate value for the degrees of freedom?

    1. (1 pt) What is the reported level of significance?

    1. (2 pts) Based on the level of significance, would you reject the null hypothesis? Why or why not?

    1. (4 pts) Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of your analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

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    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/img-0619-png-10329085)

    **IMG_0618.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/img-0618-png-10329087)

    **IMG_0618.png**

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    **## UWAED506FinalProjects25SU1.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20923579)

    ## Final Projects

    ### overview of survey and data

    A researcher has administered an anxiety survey to students enrolled in graduate level statistics courses. The survey included three subscales related to statistics anxiety: (a) interpretation anxiety, (b) test anxiety, and (c) fear of asking for help. The survey also included three subscales related to attitude toward statistics. For the items that comprised the scales, students were asked to respond using a 5 point Likert-type scale. Higher scores on the anxiety subscales implied higher levels of anxiety, and higher scores on the attitude subscales implies a more positive attitude toward statistics.

    In addition to the statistics anxiety subscales, the survey contained a subscale related to the use of statistical software and a subscale related to self-perceived confidence concerning general computer use. Students responded to items on the statistical software subscale using a response range from (1) Strongly Disagree to (7) Strongly Agree. For the computer confidence subscale, students responded to items using a range from (1) Strongly Disagree to (5) Strongly Agree. For each of these subscales, higher scores implied higher levels of confidence.

    The researcher determined the score for each subscale by computing the mean response for the items associated with the subscale. This technique resulted in subscales that had the same possible range and the items that made up the subscale.

    A subsample of the researcher’s dataset contains the following variables that should be used for completing the four final projects. You can find this data in the Final Project Folder. The variables included in the dataset are:

    | | | |
    | — | — | — |
    | Variable name: | Label: | Values: |
    | gender | Gender | 1: Female<br>2: Male |
    | race | Ethnicity | 1: White<br>2: Non-White |
    | age | | |
    | courses | Number of online courses completed | 1: 0-2 courses<br>2: 3-7 courses<br>3: 8 or more courses |
    | tca | Test and class anxiety | |
    | interpret | Interpretation anxiety | |
    | help | Fear of asking for help | |
    | worth | Worth of statistics | |
    | csc | Computational self-concept | |
    | teacher | Fear of statistics teachers | |
    | software | Confidence in using statistical software | |
    | computer | Attitude toward computers and the internet | |

    ### Project 1

    First, the researcher wants to get a better understanding of his data. This is always a wise first step. Use SPSS and your knowledge of descriptive statistics to answer the following questions about
    _confidence using statistical software_ subscale.

    Remember to round your answers to the nearest hundredth place for all descriptive statistics. Failure to round will result in a deduction of points.

    ### Questions

    1. (1 pt) What is the value of the sample size for this analysis?

    2. (1 pt) What is the mean
    _confidence using statistical software_ rating for this sample?

    3. (1 pt) What is the median
    _confidence using statistical software_ rating for this sample?

    4. (1 pt) What is the mode of
    _confidence using statistical software_ for this sample?

    5. (1 pt) What is the lowest
    _confidence using statistical software_ rating for this sample?

    6. (1 pt) What is the highest
    _confidence using statistical software_ rating for this sample?

    7. (1 pt) What is the value of the range?

    8. (1 pt) What is the value of the standard deviation?

    9. (1 pt) What is the value of the skewness statistic?

    10. (1pt) What is the value of the variance?

    11. (1 pt) What is the values of the 25th percentile?

    12. (1 pt) What is the value of the 75th percentile?

    13. (Bonus 1 pt) Compose a research question relating to your daily life/work that you would be interested in answering with statistics.

    14. (6 pts) Present the results as they might appear in an article. This must include a table and narrative statement that provides a thorough description of the central tendency and distribution of the students’
    _confidence using statistical software_.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 2

    Next, the researcher wants to know if there is a difference in male and female students’ mean
    _computational self-concept._ Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the following questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2pts) What is the appropriate analysis for determining the difference in mean levels of
    _computational self-concept_ of the two independent groups, female and male students?

    2. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    3. (2 pts) What are the mean and standard deviation for female students’ ratings of their
    _computational self-concept?_

    4. (2 pts) What are the mean and standard deviation for male students’ ratings of their
    _computational self-concept_?

    5. (1 pt) What is the observed or computed value of the test statistic used to determine the difference in the two group’s mean ratings of their
    _computational self-concept_?

    6. (1 pt) What is the value of the degrees of freedom that are reported in the output?

    7. (1 pt) What is the reported level of significance?

    8. (1 pt) Based on the reported level of significance, would you reject the null hypothesis?

    9. (1 pt) Based on the results of the analysis, is the difference in male and female students’ ratings of their
    _computational self-concept_ statistically significant?

    10. (6 pts) Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of the analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 3

    Now, the researcher wants to know if mean student ratings of their
    _fear of asking for help_ differ based on the number of online courses they have completed. Students have been divided into three groups based on the number of courses they have taken. Those groups are 1) Students who have taken 0-2 courses, 2) Students who have taken 3-7 courses, and 3) Students who have taken 8 or more online courses. Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2 pts) What is the appropriate analysis for examining differences among the three groups’ mean ratings of their
    _fear of asking for help_?

    1. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    1. (3 pts) What is the mean rating of the
    _fear of asking for help_ for each group?

    1. (3 pts) What is the standard deviation for each group?

    1. (1 pt) What is the observed or computed value of the test statistic testing for differences in ratings of the
    _fear of asking for help_ amongst the three groups?

    1. (1 pt) What are the reported degrees of freedom for the Between Groups variance?

    1. (1 pt) What are the reported degrees of freedom for the Within Groups variance?

    1. (1 pt) What is the reported level of significance?

    1. (1 pt) Based on the results of the LSD post hoc test, which groups [if any] reported significantly different levels of
    _fear of asking for help_?

    1. (4 pts) Present the results as they might appear in an article. This must include a table that reports the results of the analysis and narrative statement that reports and interprets the results of the analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 4

    Finally, the researcher wants to know if there is a relationship between students’
    _ages_ and their reported levels of
    _test and class anxiety_. Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2 pt) What is the appropriate analysis for examining the relationship between students’
    _ages_ and their
    _test and class anxiety_?

    1. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    1. (2 pts) What is the mean and standard deviation for students’ reported
    _ages_?

    1. (2 pts) What is the mean and standard deviation for students’ ratings of their
    _test and class anxiety?_

    1. (1 pt) What is the value of the statistic representing the relationship between students’
    _ages_ and their
    _test and class anxiety_?

    1. (1 pt) Based on the value of the statistic identified in the previous question, how would you classify the
    strength of this relationship?

    1. (1 pt) Using the same statistic, how would you classify the
    direction of the relationship?

    1. (1 pt) What is the appropriate value for the degrees of freedom?

    1. (1 pt) What is the reported level of significance?

    1. (2 pts) Based on the level of significance, would you reject the null hypothesis? Why or why not?

    1. (4 pts) Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of your analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

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    **## UWAED506FinalProjects25SU1.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20923579)

    ## Final Projects

    ### overview of survey and data

    A researcher has administered an anxiety survey to students enrolled in graduate level statistics courses. The survey included three subscales related to statistics anxiety: (a) interpretation anxiety, (b) test anxiety, and (c) fear of asking for help. The survey also included three subscales related to attitude toward statistics. For the items that comprised the scales, students were asked to respond using a 5 point Likert-type scale. Higher scores on the anxiety subscales implied higher levels of anxiety, and higher scores on the attitude subscales implies a more positive attitude toward statistics.

    In addition to the statistics anxiety subscales, the survey contained a subscale related to the use of statistical software and a subscale related to self-perceived confidence concerning general computer use. Students responded to items on the statistical software subscale using a response range from (1) Strongly Disagree to (7) Strongly Agree. For the computer confidence subscale, students responded to items using a range from (1) Strongly Disagree to (5) Strongly Agree. For each of these subscales, higher scores implied higher levels of confidence.

    The researcher determined the score for each subscale by computing the mean response for the items associated with the subscale. This technique resulted in subscales that had the same possible range and the items that made up the subscale.

    A subsample of the researcher’s dataset contains the following variables that should be used for completing the four final projects. You can find this data in the Final Project Folder. The variables included in the dataset are:

    | | | |
    | — | — | — |
    | Variable name: | Label: | Values: |
    | gender | Gender | 1: Female<br>2: Male |
    | race | Ethnicity | 1: White<br>2: Non-White |
    | age | | |
    | courses | Number of online courses completed | 1: 0-2 courses<br>2: 3-7 courses<br>3: 8 or more courses |
    | tca | Test and class anxiety | |
    | interpret | Interpretation anxiety | |
    | help | Fear of asking for help | |
    | worth | Worth of statistics | |
    | csc | Computational self-concept | |
    | teacher | Fear of statistics teachers | |
    | software | Confidence in using statistical software | |
    | computer | Attitude toward computers and the internet | |

    ### Project 1

    First, the researcher wants to get a better understanding of his data. This is always a wise first step. Use SPSS and your knowledge of descriptive statistics to answer the following questions about
    _confidence using statistical software_ subscale.

    Remember to round your answers to the nearest hundredth place for all descriptive statistics. Failure to round will result in a deduction of points.

    ### Questions

    1. (1 pt) What is the value of the sample size for this analysis?

    2. (1 pt) What is the mean
    _confidence using statistical software_ rating for this sample?

    3. (1 pt) What is the median
    _confidence using statistical software_ rating for this sample?

    4. (1 pt) What is the mode of
    _confidence using statistical software_ for this sample?

    5. (1 pt) What is the lowest
    _confidence using statistical software_ rating for this sample?

    6. (1 pt) What is the highest
    _confidence using statistical software_ rating for this sample?

    7. (1 pt) What is the value of the range?

    8. (1 pt) What is the value of the standard deviation?

    9. (1 pt) What is the value of the skewness statistic?

    10. (1pt) What is the value of the variance?

    11. (1 pt) What is the values of the 25th percentile?

    12. (1 pt) What is the value of the 75th percentile?

    13. (Bonus 1 pt) Compose a research question relating to your daily life/work that you would be interested in answering with statistics.

    14. (6 pts) Present the results as they might appear in an article. This must include a table and narrative statement that provides a thorough description of the central tendency and distribution of the students’
    _confidence using statistical software_.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 2

    Next, the researcher wants to know if there is a difference in male and female students’ mean
    _computational self-concept._ Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the following questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2pts) What is the appropriate analysis for determining the difference in mean levels of
    _computational self-concept_ of the two independent groups, female and male students?

    2. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    3. (2 pts) What are the mean and standard deviation for female students’ ratings of their
    _computational self-concept?_

    4. (2 pts) What are the mean and standard deviation for male students’ ratings of their
    _computational self-concept_?

    5. (1 pt) What is the observed or computed value of the test statistic used to determine the difference in the two group’s mean ratings of their
    _computational self-concept_?

    6. (1 pt) What is the value of the degrees of freedom that are reported in the output?

    7. (1 pt) What is the reported level of significance?

    8. (1 pt) Based on the reported level of significance, would you reject the null hypothesis?

    9. (1 pt) Based on the results of the analysis, is the difference in male and female students’ ratings of their
    _computational self-concept_ statistically significant?

    10. (6 pts) Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of the analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 3

    Now, the researcher wants to know if mean student ratings of their
    _fear of asking for help_ differ based on the number of online courses they have completed. Students have been divided into three groups based on the number of courses they have taken. Those groups are 1) Students who have taken 0-2 courses, 2) Students who have taken 3-7 courses, and 3) Students who have taken 8 or more online courses. Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2 pts) What is the appropriate analysis for examining differences among the three groups’ mean ratings of their
    _fear of asking for help_?

    1. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    1. (3 pts) What is the mean rating of the
    _fear of asking for help_ for each group?

    1. (3 pts) What is the standard deviation for each group?

    1. (1 pt) What is the observed or computed value of the test statistic testing for differences in ratings of the
    _fear of asking for help_ amongst the three groups?

    1. (1 pt) What are the reported degrees of freedom for the Between Groups variance?

    1. (1 pt) What are the reported degrees of freedom for the Within Groups variance?

    1. (1 pt) What is the reported level of significance?

    1. (1 pt) Based on the results of the LSD post hoc test, which groups [if any] reported significantly different levels of
    _fear of asking for help_?

    1. (4 pts) Present the results as they might appear in an article. This must include a table that reports the results of the analysis and narrative statement that reports and interprets the results of the analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

    ### Project 4

    Finally, the researcher wants to know if there is a relationship between students’
    _ages_ and their reported levels of
    _test and class anxiety_. Use SPSS to conduct the analysis that is appropriate for this research question and answer each of the questions.

    If a statistical significance test is used, you should use .05 as the critical level of significance.

    **_Remember_** to round your answers to the nearest hundredth place for all descriptive statistics. The level of significance should not be rounded. Failure to follow these directions will result in a deduction of points.

    ### Questions

    1. (2 pt) What is the appropriate analysis for examining the relationship between students’
    _ages_ and their
    _test and class anxiety_?

    1. (1 pt) Write an appropriate null hypothesis for this analysis.

    _Bonus (1 pt):_ State an appropriate research hypothesis for this analysis.

    1. (2 pts) What is the mean and standard deviation for students’ reported
    _ages_?

    1. (2 pts) What is the mean and standard deviation for students’ ratings of their
    _test and class anxiety?_

    1. (1 pt) What is the value of the statistic representing the relationship between students’
    _ages_ and their
    _test and class anxiety_?

    1. (1 pt) Based on the value of the statistic identified in the previous question, how would you classify the
    strength of this relationship?

    1. (1 pt) Using the same statistic, how would you classify the
    direction of the relationship?

    1. (1 pt) What is the appropriate value for the degrees of freedom?

    1. (1 pt) What is the reported level of significance?

    1. (2 pts) Based on the level of significance, would you reject the null hypothesis? Why or why not?

    1. (4 pts) Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of your analysis.

    Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.

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    **As a student at Campbell University, you have been asked to join a** _**fictional**_ **committee that will partner with new students in various programs of study. You will work alongside Campbell students from other programs to coordinate a weekend event that includes a tour of the campus, an info…

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    **As a student at Campbell University, you have been asked to join a** _**fictional**_ **committee that will partner with new students in various programs of study. You will work alongside Campbell students from other programs to coordinate a weekend event that includes a tour of the campus, an informal meeting with students who are interested in your program which is Psychology, and a lunch-and-learn session with a panel of experts from various fields.**
    **During the meeting with students who may be interested in your field of study, one student mentions that a program requirement is statistics. That student asks you why statistics is needed in this program. Do research online and create a thoughtful reply to the student, including a list of at least three specific ways statistics are used in your field. Include references from the online sources. This reply serves as your initial post to the discussion and is due by 11:59 p.m. EST on Friday.**
    **Read the replies from the other members of the class, and compare the role that statistics plays in various fields. Are you surprised by any of the ways that statistics can be used across disciplines? Did you see any commonalities? Make at least one substantive peer reply post by 11:59 p.m. EST by Sunday.**

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    ## Identification of Methods and Interpretation of Results

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    ## Identification of Methods and Interpretation of Results