MATH 1600 - Statistics

4 unit(s)

Introductory course designed for students in the behavioral, biological, and social sciences. The description of sample data, probability and probability distributions, sampling and estimation, testing hypotheses, correlation and regression, introduction to analysis of variance.

Satisfies G.E. area 2.

Prerequisites: Mathematics Placement category I or II, or a qualifying score on a placement exam approved by the Mathematics Department.

Hours: (Lecture, 3 hours; laboratory, 2 hours)

Course Learning Outcomes List
Students will be able to:

1. Use statistical vocabulary and notation appropriately (PLO #2);

2. Distinguish the difference between quantitative and qualitative data and recognize when each is appropriate (PLO #2);

3. Describe and represent statistical data (PLO #2);

4. Correctly interpret statistical displays (PLO #2);

5. Identify measures of center and variation and use them appropriately to describe distributions (PLO #1, 2);

6. Compute basic probabilities and correctly use computations for application (PLO #1, 2);

7. Build confidence intervals to estimate population parameters such as means and proportions from statistical data (PLO #2);

8. Successfully use technology to describe, analyze, and perform inferential statistics (PLO #3);

9. Perform hypothesis tests for population parameters and appropriately interpret the results (PLO #2);

10. Analyze the extent to which variables are correlated (PLO #2);

11. Determine the best way to represent statistical data formulaically (PLO #2); and,

12. Apply statistical concepts to real-life scenarios (PLO #2).

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