MAT-200 Statistics
This statistics course is designed for an experienced mathematics student. It is a one semester course covering descriptive and inferential statistics. Topics included are measures of center; measures of dispersion; hypothesis testing; estimations for population means, proportions, and variance; determination of sample size; uses of the Chi-square distribution; analysis of variance; linear correlation and linear regression; and statistical research. The course will emphasize computer or calculator use (graphing calculator, Minitab, Excel, StatCrunch, R, etc.) to obtain results. Simulation-based methods will be used to support and enhance traditional methods of inference. This course carries SUNY General Education Mathematics (and Quantitative Reasoning) credit.
Prerequisite
earn a C- or better in
MAT-145 or Placement into Math Level 3 or Higher
Course Learning Outcomes
- Analyze sample data, and interpret the results of statistical procedures.
- Apply probability distributions and sampling distributions to calculate probabilities.
- Use confidence intervals to estimate population parameters.
- Use hypothesis testing to evaluate claims.
- Apply simulation-based methods and normal theory models to make statistical inferences, recognizing the assumptions underlying each approach.