STAT 220 - Introduction to Statistics

3 Credits
This is the basic statistics course in which students learn to collect, analyze, present and interpret data. Descriptive and inferential statistical methods are applied in problem-solving and decision-making situations. Analysis of large, real-world data sets will be performed using statistical software.

Fees: Additional course fees apply.
Prerequisite(s): MATH 120
Course Learning Outcomes:
1. Analyze a data set using graphic and numeric descriptive methods.
2. Compare data sets using appropriate graphic and numeric measures.
3. Use simple linear regression and correlation to study the relationship between two quantitative variables.
4. Design, perform, and interpret the results of basic hypothesis tests.
5. Construct appropriate confidence intervals and interpret the results.
6. Use discrete and continuous probability distributions for modeling and inference.
7. Understand the effect of sampling size and technique on statistical inference.
8. Apply Minitab and other software as appropriate to the course content.