Statistics 302

STAT 302
Probability and Statistics II

1. Catalog Entry

STAT 302
Probability and Statistics II

Credit hours (3)
Prerequisites: STAT 301

Survey of one and two sample hypothesis tests, ANOVA, simple linear regression, and statistical computing.

2. Detailed Description of Course

The following topics will be covered:
    1) One Sample Hypothesis Tests (test of variance)
    2) Two sample confidence intervals (means, proportions)
    3) Two sample Hypothesis Tests (means, proportion, variance)
    4) Chi-Squared Hypothesis Tests
    5) Correlation & Simple Linear Regression
    6) One-factor Analysis of Variance and Multiple Comparisons
    7) Two-factor Analysis of Variance
    8) Control Charts
    9) Statistical Computing

3. Detailed Description of Conduct of Course

Course delivery methods will include classroom lectures and may include discussion, group work, and examples.

4. 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
    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 ANOVA and use multiple comparisons to determine which means differ

5. 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.

6. Other Course Information


Review and Approval

September 2, 2014
September 2001 Review Stephen Corwin, Chair