This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression.
- Demonstrate comprehension and ability to apply inferential statistics, including construction of confidence intervals for point estimates and simple hypothesis tests.
- Recognize appropriate use of different statistical models to represent and answer questions about representative real-world problems involving categorical and quantitative data.
- Understand and apply statistical concepts including probability, regression and correlation, experimental design, descriptive statistics and inferential statistics.
- Understand statistical principles and methods for data collection and analysis.