1. How does technological advancement affect the ability to collect data? Provide examples. Does this advancement increase the chance for errors? Explain.
2. Validity is more critical to measurement than reliability. A valid measurement is reliable, but a reliable measurement may not be valid. Do you agree with these statements? Explain your answer. Provide examples to support your rationale.
3. What are some critical decisions involved in selecting an appropriate measurement scale? How do these decisions influence the research design?
4. What is the importance of pretesting survey questions and instruments? What are risks of not doing this? Provide an example.
5. What is the importance of the null hypothesis? Why has it been the backbone of mainstream hypothesis testing for decades? What are its limitations?
6. When would you use a one- or two-sample hypothesis test? Provide examples.
7. What is the value of performing hypotheses tests to solve problems related to business and operations management? Provide specific examples.
8. What is the relationship between confidence intervals and hypothesis testing? How are they the same? How are they different?
Hypothesis testing is a method of making decisions using data. A