Course : Data Analysis
- Course Number
- Section Number
- Fall 2020
- Jerry Fulford
- Days & Times
- Final Exam Day/Time
Upon completion of this course, the student will:
1. Use the measures of central tendency and measures of dispersion.
2. Use concepts of estimates, relative risk, relative risk reduction, and odds ratios.
3. Use tests that analyze frequencies, correlations, and differences.
4. Understand the basic concepts of measurement, sampling, sample size, and sample distribution.
5. Grasp the general principles of processing and presenting data.
6. Explain, calculate, and interpret inferential statistics including probability and hypothesis testing.
7. Correlate the concepts of probability and the normal distribution curve.
8. Understand the factors that form the basis for hypothesis and statistical testing.
9. Apply statistical outcomes to processes of quality improvement.
10. Use statistical outcomes to evaluate 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.
Plagiarism is the use of someone else's thoughts, words, ideas, or lines of argument in your own work without appropriate documentation (a parenthetical citation at the end and a listing in "Works Cited")-whether you use that material in a quote, paraphrase, or summary. It is a theft of intellectual property and will not be tolerated, whether intentional or not.
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As an MSU Student, I pledge not to lie, cheat, steal, or help anyone else do so."
As students at MSU, we recognize that any great society must be composed of empowered, responsible citizens. We also recognize universities play an important role in helping mold these responsible citizens. We believe students themselves play an important part in developing responsible citizenship by maintaining a community where integrity and honorable character are the norm, not the exception.
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We consider it dishonest to ask for, give, or receive help in examinations or quizzes, to use any unauthorized material in examinations, or to present, as one's own, work or ideas which are not entirely one's own. We recognize that any instructor has the right to expect that all student work is honest, original work. We accept and acknowledge that responsibility for lying, cheating, stealing, plagiarism, and other forms of academic dishonesty fundamentally rests within each individual student.
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