STAT 302: Probability and Statistics II
Prerequisites: A grade of C or better in STAT 301
Credit Hours: (3)
Survey of one and two sample hypothesis tests, ANOVA, simple linear regression, and statistical
computing.
Note(s): Applied Learning designated course.
Detailed Description of Course
The following topics will be covered:
1) Survey of sampling distributions, including the t, chi-squared, and F distributions.
2) One Sample Hypothesis Tests (test of variance)
3) Two sample confidence intervals (means, proportions)
4) Two sample Hypothesis Tests (means, proportion, variance)
5) Chi-Squared Hypothesis Tests
6) Correlation & Simple Linear Regression
7) One-factor Analysis of Variance and Multiple Comparisons
8) Two-factor Analysis of Variance
9) Statistical Computing
10) Nonparametric estimation, if time permits
Detailed Description of Conduct of Course
Course delivery methods may include classroom lectures, discussion, group work, and
examples.
Goals and Objectives of the Course
Students are expected to learn the basic principles of probability. In addition to
paper and pencil problem solving, students will use computer software to solve problems.
Students will be able to:
1) Satisfy conditions for statistical inference
2) Conduct hypothesis tests of the mean, proportion, and variance, difference
of means and difference of proportions
3) Calculate and interpret confidence intervals of the differences of means and
proportions
4) Conduct chi-squared tests
5) Conduct simple linear regression
6) Conduct one- and two- factor ANOVA and use multiple comparisons to determine
which means differ and interpret interaction plots
Assessment Measures
Assessment of the student's success in the course will be based on tests, homework
problems, and other possible assessment measures, the number and weights of which
are left to the instructor's discretion.
Other Course Information
None
Review and Approval
November 7, 2017
September 2, 2014
September 2001 Review Stephen Corwin, Chair
March 01, 2021