Using the provided dataset, calculate the appropriate descriptive statistics for the following variables, comparing diabetes with no diabetes status: gender, race, salary, education, height, weight, BMI, allergies, family history diabetes, family history allergies. For chi-square tests, report the chi-square value and the p-value (if p-value < 0.05, then the test is significant). For t-tests, report the t-test value and the p-value. Include a 2- to 3-page description of the descriptive statistics, including tables of the summarized data. This is similar to a “Results” section in a published manuscript or journal article. Use the following online calculators to obtain the results for this analysis.
Chi-Square for Categorical Data: http://www.vassarstats.net/

1. Choose      “Frequency Data” from the far left, then “Chi-Square,      Cramer’s V, and Lambda” from the middle of the page.
2. Enter      in the number of people in each category (e.g., number of women who have      diabetes, number of men with diabetes, etc.).

Example of a table below:
Diabetes No Diabetes
Female 86 214
Male 36 264
Choose a 2 x 2 table and where A1 = 86, A2 = 36; B1 = 214; B2 = 264.
Report the percent of people in each category and the chi-square and p-value. A possible sentence to interpret the results could be:
There are significantly more women (64%) who have diabetes than men (36%).
T-Tests for Continuous Data: http://www.vassarstats.net/

1. Choose      “T-Tests & Procedure” from the far left, then      “Two-Sample t-Test”, then click “Independent Samples”      under Setup.
2. Copy      and Paste the values for those with diabetes into Sample A and those      without diabetes into Sample B, then click Calculate.
   For instance, copy and paste all of the ages of those with diabetes into      Sample A and all of the ages of those without diabetes into Sample B. From      the Data Summary window, report the Mean of those with Diabetes (Sample A)      and those without Diabetes (Sample B); also report the “t” from      the Results box, as well as the two-tailed p-value. A “p” that      is <0.05 suggests that the result is statistically significant. One way      to report such a finding would be to use the following language:

The average age of those with diabetes is __ years and for those without diabetes, the average is __ years. Those with diabetes were significantly older/younger (p<0.05).
SLP Assignment Expectations
Length: SLP Assignment should be at least 2 pages (500 words) in length.
References: At least two references from academic sources must be included (e.g., peer-reviewed journal articles). You may use any required readings from this module for your two references. Quoted material should not exceed 10% of the total paper (since the focus of these assignments is critical thinking). Use your own words and build on the ideas of others. When material is copied verbatim from external sources, it MUST be enclosed in quotes. The references should be cited within the text and listed at the end of the assignment in the References section (APA formatting recommended).