In the OR assignment, you will analyze the relationship between chili pepper consumption and risk of gastric cancer
Dear writer. Week 3 discussion is due on Friday, August 30, 2019. It is a discussion, no need to look for plagiarism. Thank you.
The discussion assignment provides a forum for discussing relevant topics for this week based on the course competencies covered.
To support your work, use your course and text readings and also use the South University Online Library. As in all assignments, cite your sources in your work and provide references for the citations in APA format.
Start reviewing and responding to the postings of your classmates as early in the week as possible. Respond to at least two of your classmates’ initial posting. Participate in the discussion by asking a question, providing a statement of clarification, providing a point of view with a rationale, challenging an aspect of the discussion, or indicating a relationship between two or more lines of reasoning in the discussion. Cite sources in your responses to other classmates.
Statistics for Contingency Tables
The purpose of this assignment is to learn about categorical data and the statistics used to analyze this type of data.
You can expect to research and provide your own definitions of these concepts. You will also discuss in what situations to use each statistic, how these statistics are used to test for significance of relations among the data, and how to interpret each statistic. The takeaways from this assignment are an understanding of contingency tables as a representation of categorical data, two statistics used to analyze this type of data, and an understanding of how to interpret these statistics in the context of a public health analysis.
Using the South University Online Library, the Internet, and your text readings, research the following statistical topics:
- Contingency tables
- The chi-square
- Fisher’s exact test (FET)
On the basis of your research, respond to the following:
- Find and state a definition of a contingency table that you feel is easy to understand.
- In your own words, explain what contingency tables are and what they are used for.
- Explain what type of data is displayed in contingency tables.
- Explain how contingency tables and their related statistics are used to test for significance of relations among the data.
- Two statistics that can be used in contingency tables are chi-square and FET. Distinguish between the two statistics.
- Explain when you would use the chi-square and when you would use the FET.
- Explain how you would interpret each statistic.
- Post your response to the Discussion Areaby the due date assigned. Respond to at least two posts by the end of the wee
Welcome to Week 3!
In Week 3, you will learn about categorical data and the appropriate statistics to analyze these data. Categorical data can be measured as an ordinal variable or nominal variable. These two types of variables are commonly used to measure characteristics that are not quantitative. Nominal data is categorical data that assumes different values without any particular order such as in gender, while ordinal data can assume different values with order, such as in severity of disease.
You will also focus on hypothesis testing using categorical data. You will have the opportunity to discuss contingency tables as a way of representing relationships between categorical data and the statistics used to test hypotheses about this type of data. You will also practice biostatistical problem-solving skills by applying and interpreting chi-square for a public health scenario with appropriate categorical data.
In the discussion assignment, you will research and discuss categorical data; contingency tables used to represent these data; and two statistics used to analyze this type of data—chi-square and Fisher’s exact test (FET) statistic—and provide your own definitions of these concepts. You will also discuss in what situations to use each statistic, how these statistics are used to test for significance of relations among the data, and how to interpret each statistic. The takeaways from this assignment will be an understanding of contingency tables as a representation of categorical data, two of the statistics used to analyze this type of data, and how to interpret these statistics in the context of a public health analysis.
In the project assignment, you will solve problems involving odds ratios (ORs) and chi-square. In the OR assignment, you will analyze the relationship between chili pepper consumption and risk of gastric cancer. The chi-square assignment investigates the relationship between hormone use and risk of nonfatal myocardial infarction (MI) in postmenopausal women.
Your Learning Objectives for the Week:
At the end of this week you should be able to:
- Apply appropriate techniques to analyze and interpret categorical data.
- Apply and interpret chi-square and other nonparametric methods.