This course is designed for students interested in the application of statistics in a business setting. Topics covered will include the role of statistics in business decisions, organization of data, frequency distributions, probability, normal and sampling distributions, hypothesis tests, linear regression and an introduction to time series, quality control and operations research.
By the end of the course, the learner should be able to:
- Create and interpret numerical and graphical data summaries.
- Interpret probability and work out basic probability calculations.
- Explain the design and techniques involved in basic experimental studies, sample surveys and random sampling.
- Correctly perform basic statistical analysis on a set of data by selecting the correct inference procedure and being able to report the results. This includes creating confidence intervals and performing tests of hypotheses.
- Correctly interpret statistical results reported by others.
- Make conclusions based on statistical inference techniques and justify their decisions.
- Perform regression analysis and justify the use of a linear model for data prediction. This includes performing inference on the slope.
- Statistical Thinking
- Descriptive Statistics
- Common Random Variables
- Foundations of Inference
- Confidence Intervals
- Hypothesis Tests
- Linear Regression
Prerequisite(s): (4U mathematics or equivalent) or 0.50 credit in mathematics
Restriction(s): STAT*2040, STAT*2080, STAT*2120. Not available to B.Sc. students
|Online Final Exam||50%|
Note: You must pass the final exam to pass the course.
*Course details are subject to change.