ONLINE Syllabus S18.pdf - Math 120 Elementary Statistics...

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Math 120 - Elementary Statistics Spring 2018 - Section 33338 (Online) Professor: Perri Gellman COURSE CONTENT, OBJECTIVES AND OUTCOMES Course Catalog Description: The use of probability techniques, hypothesis testing and predictive techniques to facilitate decision-making. Topics include descriptive statistics, probability and sampling distributions, statistical inference, correlation and linear regression, analysis of variance, chi-square and t-tests, and application of technology for statistical analysis, including interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science and education. Specific Course Objectives: 1. Distinguish among different scales of measurement and their implications. 2. Interpret data displayed in tables and in graphs. 3. Apply concepts of sample space and probability. 4. Calculate measures of central tendency and variation for a given data set. 5. Identify the standard methods of obtaining data and identify advantages and disadvantages of each. 6. Calculate the mean and variance of a discrete distribution. 7. Calculate probabilities using normal and t-distributions. 8. Distinguish between sample and population distributions and analyze the role played by the Central Limit Theorem. 9. Construct and interpret confidence intervals. 10. Determine and interpret levels of statistical significance including p-values. 11. Interpret the output of a technology-based statistical analysis. 12. Identify the basic concept of hypothesis testing including Type I and Type II errors. 13. Formulate hypothesis tests involving samples from one and two populations. 14. Select the appropriate technique for testing a hypothesis and interpret the results. 15. Use linear regression and ANOVA analysis for estimation and inference and interpret the associated statistics. 16. Using applications from business, social sciences, psychology, life sciences, health science and education, apply appropriate statistical techniques to draw conclusions. Student Learning Outcomes: Upon successful completion of this course, students will be able to compute appropriate descriptive statistics, choose and apply inferential analyses in order to draw conclusions about a population, and construct and interpret graphs such as bar charts, histograms and box plots.
PREPARATION AND MATERIALS Preparation: A grade of “C” or better in Math 56 or 60, a qualifying score on the math placement exam or a passing grade in Math 54. If a student earned a “C” in an aforementioned course and/or if it has been at least one semester since the completion of that course, students will most likely find this course to be extremely challenging, not only in content, but in pace. It is each student’s responsibility to catch up and keep up, as necessary.

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