After completing this course, students should be able to:
- Demonstrate how to test hypotheses, including nonparametric methods.
- Test for the equality of three or more population proportions.
- Conduct analysis of variance under various experimental designs
- Estimate simple and multiple regression models and interpret the results.
- Use time series analysis and forecasting models to make accurate forecasts.
- Apply statistical techniques to various fields such as marketing, supply chain management,
finance, accounting, and economics using real-world data.
- Demonstrate the ability to use Excel® and XLSTAT® in estimating applied statistical
procedures, methods, and models.
Module 1: Review of Hypothesis Testing and Statistical Inferences
- Developing null and alternative hypotheses
- One and two population(s) mean(s): known and unknown
- One and two population(s) proportion(s)
- Selected nonparametric tests of hypothesis
Module 2: Inference about Population Variances
- Inferences about a population variance
- Inferences about two population variances
Module 3: Comparing Multiple Proportions for Three or More Populations and Test of
- Multiple comparison procedures
- Test of independence
- Tests of goodness of fit
Module 4: Analysis of Variance and Experimental Designs
- Concept of ANOVA
- Comparison of several population means
- Completely randomized design
- Randomized block design
- Factorial experiment
Module 5: Simple and Multiple Regression
- Simple linear and multiple regression models and regression equations
- Least square method
- Simple and multiple regression model assumptions
- Coefficient of determination
- Testing for significance
- Confidence and prediction intervals
- Categorical independent variables and interpreting the parameters
- Determining when to add or delete variable
Module 6: Time Series Analysis and Forecasting
- Time series patterns
- Forecast accuracy
- Moving average and exponential smoothing
- Trend projection
- Seasonality and trend
- Time series decomposition
Required text and materials
Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J.
Statistics for business and economics (with XLSTAT Education Edition Printed Access
Card). (13th ed.). Mason, OH: South-Western (Cengage Learning), 2014.
Or 13th “Revised” edition ISBN: 978-1-337-09416-0
XLSTAT® is required and will be provided with the bundle of the textbook.
Please be aware that due to COVID-19 safety guidelines all in-person exams have been suspended. As such, all final exams are currently being delivered through ProctorU, which has an approximate fee of $35 involved. There will be more information in your course shell, on how to apply, if your course has a final exam.
In order to successfully complete this course, students must obtain at least 50% on the final
mandatory examination and 50% overall.
|Final Exam *
Open Learning Faculty Member
An Open Learning Faculty Member is available to assist students. Primary communication is
through the Learning Environment's "Mail" tool or by phone. Students will receive the necessary
contact information when starting the course.