Tag: Homework Solution

  • [Solved] Statistical type of work

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  • [Solved] Statistic

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    I need help understanding JASP – ## cf_GSS_30s_19.jasp – ## Overview_19.docx – ## cf_PSYC3700_Assignment_2_Worksheet_19.docx **## cf_GSS_30s_19.jasp** ## manifest.json { "jaspArchiveVersion" : "5", "jaspVersion" : "0.19.3" } ## analyses.json { "analyses" : [], "meta" : null } ## index….

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    Assignment Prompt & Instructions

    I need help understanding JASP

    – ## cf_GSS_30s_19.jasp

    – ## Overview_19.docx

    – ## cf_PSYC3700_Assignment_2_Worksheet_19.docx

    **## cf_GSS_30s_19.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.19.3"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_19.docx**

    **Overview**

    For this week’s assignment you will demonstrate your ability to use JASP to compute descriptive statistics. You will also summarize key descriptive statistics in a sentence consistent with APA style.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Obtain access to JASPLinks to an external site. Statistical Software.

    · Download the
    [Week 2 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833988/download).

    · Download the
    [GSS_30.csv](https://courseroom.capella.edu/courses/49502/files/8833972/download). These data were extracted from
    [The General Social Society (GSS)Links to an external site.](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/4849111430006731?auth=SAML&section=4849111480006731). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.

    **Instructions**

    Complete and submit the Week 2 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences

    · Open a dataset in JASP

    · Select the correct variable types in JASP

    · Compute descriptive statistics for a variable in JASP

    · Compute descriptive statistics for a variable, with a split variable, in JASP

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write a sentence to report descriptive statistics that is consistent with APA standards.

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    **## cf_GSS_30s_19.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.19.3"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_19.docx**

    **Overview**

    For this week’s assignment you will demonstrate your ability to use JASP to compute descriptive statistics. You will also summarize key descriptive statistics in a sentence consistent with APA style.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Obtain access to JASPLinks to an external site. Statistical Software.

    · Download the
    [Week 2 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833988/download).

    · Download the
    [GSS_30.csv](https://courseroom.capella.edu/courses/49502/files/8833972/download). These data were extracted from
    [The General Social Society (GSS)Links to an external site.](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/4849111430006731?auth=SAML&section=4849111480006731). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.

    **Instructions**

    Complete and submit the Week 2 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences

    · Open a dataset in JASP

    · Select the correct variable types in JASP

    · Compute descriptive statistics for a variable in JASP

    · Compute descriptive statistics for a variable, with a split variable, in JASP

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write a sentence to report descriptive statistics that is consistent with APA standards.

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    **## cf_GSS_30s_19.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.19.3"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_19.docx**

    **Overview**

    For this week’s assignment you will demonstrate your ability to use JASP to compute descriptive statistics. You will also summarize key descriptive statistics in a sentence consistent with APA style.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Obtain access to JASPLinks to an external site. Statistical Software.

    · Download the
    [Week 2 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833988/download).

    · Download the
    [GSS_30.csv](https://courseroom.capella.edu/courses/49502/files/8833972/download). These data were extracted from
    [The General Social Society (GSS)Links to an external site.](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/4849111430006731?auth=SAML&section=4849111480006731). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.

    **Instructions**

    Complete and submit the Week 2 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences

    · Open a dataset in JASP

    · Select the correct variable types in JASP

    · Compute descriptive statistics for a variable in JASP

    · Compute descriptive statistics for a variable, with a split variable, in JASP

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write a sentence to report descriptive statistics that is consistent with APA standards.

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    – 1
    – 2
    – 3

  • [Solved] pye

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    Assignment Prompt & Instructions

    Full assignment prompt and step-by-step guidance are included in the downloadable solution file.

  • [Solved] Prof Double R

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    In response to the peers post, discuss the information they have provided. How is the information useful or not useful to you as a professional in this field of study? Patti post The first challenge in scenario 2 was leaving the computer with their colleague. If the person could not wait to use the …

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    Assignment Prompt & Instructions

    In response to the peers post, discuss the information they have provided. How is the information useful or not useful to you as a professional in this field of study?
    Patti post
    The first challenge in scenario 2 was leaving the computer with their colleague. If the person could not wait to use the restroom after boarding the plane, then they should have taken the laptop with them, especially since they knew there was sensitive information that could be accessed. If the person didn’t want to take the laptop with them, they should have locked and secured it in a piece of luggage, rather than leaving it on their chair, where it could be forgotten. The colleague could have waited for the fellow traveler to return before boarding the plane, which would have eliminated forgetting the laptop. Policies for data management and equipment should be implemented during the hiring process, annually, and even after a person leaves the company to ensure the security of sensitive information.
    Ethics is the framework for determining what is right or wrong. Policies are actionable rules and guidelines for behavior. In healthcare, ethical principles like autonomy and beneficence are what guide healthcare polices and are related to informed consent and treatments. Ethics and policy should match up; ethics provides the moral compass for policy development, while policy provides the practical means for achieving ethical goals. In this scenario, the policy was not followed because the employee left their laptop “unattended”, which could cause a breach in information. Ethically, the employee did not do the right thing by leaving it with their colleague in a busy airport.
    When individual ethics don’t align with an organization's policy, it can lead to stress, decreased job satisfaction, absenteeism, and both legal and reputation damage for the individual and company. These can be mitigated through clear ethical guidelines, ethical and policy training, and fostering a culture of integrity.
    Key POST
    With any healthcare system, it is always vital to keep accurate records on all patients and it’s of equal importance to keep them safe and filed correctly, per HIPAA. Furthermore, the Joint Commission standards require that the patient record contain patient-specific information appropriate to the care, treatment, and services provided (Bowie, 2022). This is one major issue in scenario 1. While the data was collected on these patients, it was not all retained and was also tampered with.
    In an effort to prevent further damage, the associate that noticed that those who experienced adverse reactions were removed from the database needs to follow the proper chain of command to alert them of this–regardless of it this means grant money will no longer be awarded for the project. All data needs to be collected, accurate, and complete to ensure the accurate measurement of the quality of care given. Quality documentation is essential to the entire health care system impacting patients, providers, accreditation, utilization review to name a few (Bowie, 2022).
    Ethics are a code of conduct, establishing a clear guideline for what’s right and wrong. There was an ethical dilemma involved with scenario 1 as information that could determine the fate of said patient(s) as well as potential future patients could be negatively impacted due to intentional deception. Ethics and policy in a sense work together as policies are created in an effort to ensure healthcare professionals do the right thing by the patient and practice in every scope–however, they don’t always align.
    Someone can disagree with a policy due to their own personal beliefs or religion, and thus could be less inclined to follow the policies set forth. If an individual decides to still work for an organization that has policies that don’t align with what they feel is right, it could end up posing both legal and ethical lawsuits, loss of business revenue and more.

  • [Solved] Powerpoint slides

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    look at attachment and apa format if you use references – ## A7.docx **## A7.docx** A 7-year-old male patient comes into your office for a well exam. The child is 47.5 inches tall and weighs 65 lbs. Plot the height and weight and get the bmi. So I need powerpoint slides and notes under neath so I ca…

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    Assignment Prompt & Instructions

    look at attachment and apa format if you use references

    – ## A7.docx

    **## A7.docx**

    A 7-year-old male patient comes into your office for a well exam. The child is 47.5 inches tall and weighs 65 lbs.  Plot the height and weight and get the bmi. So I need powerpoint slides and notes under neath so I can explain in a video what my professor is asking for

    Use CDC growth chart

    Use Kaltura to create a 2–3-minute video where you, as the pediatric nurse practitioner, explain the child’s growth chart to the parent. Use the appropriate growth chart (you can share your screen to refer to the chart) to explain the child’s height-for-age and weight-for-age percentiles as well as his BMI, including his percentile. Determine the diagnosis and explain to the parent whether the child is underweight, normal weight, overweight, or obese. Share a treatment plan and suggestions for future steps for the parent.

    Rubric :

    Includes height-for-age percentiles

    Includes weight-for-age percentiles

    Includes BMI percentiles

    Provides a diagnosis and explains to the parent whether the child is underweight, normal weight, overweight, or obese.

    Shares treatment plan and suggestions for future steps for parent.

    **## A7.docx**

    A 7-year-old male patient comes into your office for a well exam. The child is 47.5 inches tall and weighs 65 lbs.  Plot the height and weight and get the bmi. So I need powerpoint slides and notes under neath so I can explain in a video what my professor is asking for

    Use CDC growth chart

    Use Kaltura to create a 2–3-minute video where you, as the pediatric nurse practitioner, explain the child’s growth chart to the parent. Use the appropriate growth chart (you can share your screen to refer to the chart) to explain the child’s height-for-age and weight-for-age percentiles as well as his BMI, including his percentile. Determine the diagnosis and explain to the parent whether the child is underweight, normal weight, overweight, or obese. Share a treatment plan and suggestions for future steps for the parent.

    Rubric :

    Includes height-for-age percentiles

    Includes weight-for-age percentiles

    Includes BMI percentiles

    Provides a diagnosis and explains to the parent whether the child is underweight, normal weight, overweight, or obese.

    Shares treatment plan and suggestions for future steps for parent.

  • [Solved] English 101

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    Rhetorical Analysis of a Discourse Community what does this mean

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