Download a data set from a reputable source, such as Kaggle, the World Health Organization, or the Centers for Disease Control and Prevention, and import the table into SPSS$.$

In SPSS calculate measures of central tendency $($mean$,$ median, mode$),$ and measures of dispersion $($range$,$ variance, standard deviation$)$ for each variable.

Create a histogram, scatter plot, and box plot to explore the dataset. Use different colors, labels, and other design elements to make the visualizations clear and informative.

Write a paper summarizing your findings from the descriptive statistics and data visualizations. Include an introduction to the dataset, a summary of the descriptive statistics, and a discussion of the insights gained from the visualizations. Include your visualization with your paper and submit as a Word document.

Assignment requirements:

Length: $1-2$ pages, not including title and references pages

References required: $2$ peer$-$reviewed sources, no older than $5$ years, not from the course instructional materials.

Current APA format is required.

Learning Objectives

Course Outcomes

American Board of Dental Public Health, American Association of Public Health Dentistry Competencies

Council on Education for Public Health Competencies

Rubric

M$3$ Data Set and Descriptive Statistics Paper

M$3$ Data Set and Descriptive Statistics Paper

Criteria Ratings Pts

This criterion is linked to a Learning OutcomeDataset understanding and calculations

$22\mathrm{.}5$ to $>20\mathrm{.}22$ pts

A

The student demonstrates a comprehensive understanding of the dataset and effectively calculates measures of central tendency $($mean$,$ median, mode$)$ and measures of dispersion $($range$,$ variance, standard deviation$)$ for each variable.

$20\mathrm{.}22$ to $>17\mathrm{.}97$ pts

B

The student demonstrates a good understanding of the dataset and calculates measures of central tendency $($mean$,$ median, mode$)$ and measures of dispersion $($range$,$ variance, standard deviation$)$ for each variable.

$17\mathrm{.}97$ to $>15\mathrm{.}72$ pts

C

The student demonstrates a basic understanding of the dataset and calculates measures of central tendency $($mean$,$ median, mode$)$ and measures of dispersion $($range$,$ variance, standard deviation$)$ for each variable, but there may be some errors or omissions.

$15\mathrm{.}72$ to $>0$ pts

F

The student demonstrates a limited understanding of the dataset and may not accurately calculate measures of central tendency $($mean$,$ median, mode$)$ and measures of dispersion $($range$,$ variance, standard deviation$)$ for each variable.

$22\mathrm{.}5$ pts

This criterion is linked to a Learning OutcomeDataset introduction, context and relevance to analysis

$37\mathrm{.}5$ to $>33\mathrm{.}71$ pts

A

The paper includes a well$-$written introduction to the dataset, providing context and relevance to the analysis. The summary of descriptive statistics is detailed and well$-$organized, clearly presenting the calculated values for each measure.

$33\mathrm{.}71$ to $>29\mathrm{.}96$ pts

B

The paper includes an adequate introduction to the dataset, providing some context and relevance to the analysis. The summary of descriptive statistics is presented, but it may lack some detail or organization.

$29\mathrm{.}96$ to $>26\mathrm{.}21$ pts

C

The paper includes a simple introduction to the dataset but may lack context or relevance. The summary of descriptive statistics may be basic and may not present all the calculated values clearly.

$26\mathrm{.}21$ to $>0$ pts

F

The paper lacks a proper introduction to the dataset, providing minimal context or relevance. The summary of descriptive statistics may be incomplete or inaccurate.

$37\mathrm{.}5$ pts

This criterion is linked to a Learning OutcomeVisualization $($histogram$,$ scatter plot, and box plot$)$

$22\mathrm{.}5$ to $>20\mathrm{.}22$ pts

A

The visualizations $($histogram$,$ scatter plot, and box plot$)$ are of high quality, clear, and well$-$designed, using appropriate colors, labels, and other design elements to make the visualizations informative and insightful.

$20\mathrm{.}22$ to $>17\mathrm{.}97$ pts

B

The visualizations $($histogram$,$ scatter plot, and box plot$)$ are clear and informative, using colors, labels, and design elements to present the data effectively.

$17\mathrm{.}97$ to $>15\mathrm{.}72$ pts

C

The visualizations $($histogram$,$ scatter plot, and box plot$)$ are present but may lack clarity or effective use of design elements.

$15\mathrm{.}72$ to $>0$ pts

F

The visualizations $($histogram$,$ scatter plot, and box plot$)$ may be poorly constructed or missing essential design elements.

$22\mathrm{.}5$ pts

This criterion is linked to a Learning OutcomeVisualization insights

$30$ to $>26\mathrm{.}97$ pts

A

The discussion of insights gained from the visualizations is thoughtful and demonstrates a deep understanding of the data and its implications. The student demonstrates critical thinking and analysis, interpreting the results and drawing meaningful conclusions from the data and visualizations.

$26\mathrm{.}97$ to $>23\mathrm{.}97$ pts

B

The discussion of insights gained from the visualizations is reasonable and shows an understanding of the data. The student demonstrates basic critical thinking and analysis, interpreting the results to some extent.

$23$