Course : Data Analysis
- Course Number
- Section Number
- Spring 2022
- Jerry Fulford
- Days & Times
- Final Exam Day/Time
Upon completion of this course, the student will:
- Develop a broad-based understanding of descriptive statistics and selected statistical techniques
- Choose and make the appropriate graph/table for a set of data Describe the characteristics of the normal distribution
- Identify different levels of measurement.
- Explain Type I and Type II error and the consequences of each error
- Differentiate independent and dependent samples
- Explain the effect of alpha, the number of tails, and sample size on the critical value of t.
- Determine the power of an independent-samples t-test and the sample size necessary to have an independent-samples t-test with sufficient power.
- Interpret the results from a chi-square test for contingency tables.
- Choose an appropriate statistical test to use in analyzing a data set
- Evaluate diagnostic and screening tests appropriately.
- Understand the factors that form the basis for hypothesis and statistical testing.
- Apply statistical outcomes to processes of quality improvement.
- Use statistical outcomes to evaluate the effects of treatment.
Note: You may not submit a paper for a grade in this class that already has been (or will be) submitted for a grade in another course, unless you obtain the explicit written permission of me and the other instructor involved in advance.
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As an MSU Student, I pledge not to lie, cheat, steal, or help anyone else do so."
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