# Statistics 301

STAT 301
Probability and Statistics I

1. Catalog Entry

STAT 301
Probability and Statistics I

Credit hours (3)
Prerequisites: A grade of C or better in MATH 152

Introduction to descriptive statistics and probability theory. A survey of the most common probability distributions. One sample confidence intervals and hypothesis tests.

2. Detailed Description of Course

The following topics will be covered:
1) Introduction of descriptive statistics
2) Counting Techniques
3) Probability Rules
4) Discrete Distributions (uniform, binomial, Poisson, geometric)
5) Continuous Distribution (uniform, normal)
6) Sampling Distribution, Central Limit Theorem
7) Estimation, point and interval (Z, T, proportion)
8) One sample hypothesis tests (Z, T, proportion)

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 and statistics and to demonstrate the use of these principles in problem solving. Students will be able to use the tools of probability and statistics to conceptualize and solve problems.

Students will be able to:
1) Use basic statistical terminology appropriately
2) Use appropriate graphs and statistics to describe sets of data
3) Calculate probability of events using counting techniques and probability rules
4) Describe the sampling distribution of x-bar; restate and apply the Central Limit Theorem
5) Conduct one-sample confidence intervals and hypothesis tests

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

None.

Review and Approval

September 2, 2014
September 2001 Review Stephen Corwin, Chair