Individual One- and Two-Sample Tests of Hypothesis, Variance, and Chi-squared Analysis Problem Sets

Resource: Statistical Techniques in Business & Economics

Prepare responses to the following exercises from the text:

Exercises 31, 32, and 38 (Ch. 10)

Exercises 27, 46, and 52 (Ch. 11)

Exercises 23 and 28 (Ch. 12)

Exercises 19 and 20 (Ch. 17)

Discussion Questions

What is the importance of the null hypothesis? Why has it been the backbone of mainstream hypothesis testing for decades? What are its limitations?

What is the value of performing hypotheses tests to solve problems related to business and operations management? Provide specific examples.

What are differences between dependent and independent samples? Provide examples. What are implications for determining the tests used to analyze data?

When would you use a one- or two-sample hypothesis test? Provide examples.