# STAT 302

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