About This Course Pack
Business Statistics is an introductory course was designed to meet all of the statistics competencies for the CPA program. As of 2020, the required CPA competencies are:
- Discrete probability distributions
- Normal and other continuous probability distributions (e.g. exponential and/or uniform)
- Sampling, confidence intervals and estimation
- Hypothesis testing (one and two-sample, means and proportions, ANOVA)
- Chi-square tests
- Regression and correlation (simple linear, multiple including model building)
- Forecast time series data
The course includes supplement guides that are designed to meet the CPA competencies and to work in conjunction with any accounting textbook for Statistics. As an introductory Statistics course, much of the content is designed to prepare students for future finance courses that they will take in a business degree. Most of the course builds up to in-depth calculations of bond prices and net present value, alongside teaching repayment schedules. This treatment is given more detail in a later business finance courses, where students are asked to use greater analytical skills alongside technical math skills.
While the course is adaptable, this course was created as a way of easily using the “flipped-classroom” approach. In this approach, the instructor completes an example and the class is then given time to work through an example. Students share their work with their peers to compare answers (known as “Think-Pair-Share”).
Included in this course are an instructor manual, course supplement guides, practice questions, formulas, assignments, statistics charts, lesson plans, video tutorials and exams.
Accessibility Statement: The audio in the provided tutorial videos does not always provide a description of what is being displayed.
- Forecast using time series analysis
- Demonstrate an understanding of the terminology used in statistics
- Evaluate business information using descriptive statistics
- Calculate and interpret probabilities
- Describe discrete and continuous probability distributions and calculate relevant probabilities
- Estimate a population mean and population proportion using simple random samples
- Formulate statistical hypothesis tests
- Conduct simple linear and multiple regressions and interpret the results