Distinguish between one-sample and two-sample populations


Module- SLP Assignment: ONE- AND TWO-SAMPLE TESTS

Using the provided dataset from SLP 1, 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.

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.).

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).

Organization: Subheadings should be used to organize your paper according to each question.

The following items will be assessed in particular:

• Achievement of learning outcomes for SLP Assignment.
• Relevance: all content is connected to the question.
• Precision: specific question is addressed; statements, facts, and statistics are specific and accurate.
• Depth of discussion: points that lead to deeper issues are presented and integrated.
• Breadth: multiple perspectives, references, and issues/factors are considered.
• Evidence: points are well supported with facts, statistics, and references.
• Logic: presented discussion makes sense; conclusions are logically supported by premises, statements, or factual information.
• Clarity: writing is concise, understandable, and contains sufficient detail or examples.
• Objectivity: use of first person and subjective bias are avoided.

Background- ONE- AND TWO-SAMPLE TESTS

Module  Outcomes: ONE- AND TWO-SAMPLE TESTS

• Module

o Distinguish between one-sample and two-sample populations.
o Distinguish between and calculate one-sample and two-sample tests for categorical and continuous variables.

• Case

o Discuss one-sample and two-sample tests used routinely to analyze categorical and continuous variables in a study.
o Distinguish the three types of t-tests.

• SLP

o Analyze chi-square and t-tests for categorical and continuous variables from a data set.
o Examine chi-square and t-test results in an appropriate table.

• Discussion

o Discuss how bias may affect how data are presented and interpreted.

Format your assignment according to the following formatting requirements:

1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.

2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.

3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.

Download:- Module-Background.rar

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