RES 342 All DQs

Week 1

What are the steps espoused by the textbook (or instructor) for formal hypothesis testing? Explain why the sequence is important? What might happen if the hypothesis test is performed before the researcher has decided on the significance level?

Explain the difference between a left-tailed, two-tailed, and right-tailed test. When would we choose a two-tailed test? How can we tell the direction of the test by looking at a pair of hypothesis? How can we tell which direction (or no direction) to make the hypothesis by looking at the problem statement (research question)?

Explain the difference between the null hypothesis and the alternate hypothesis. How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population? With a failure to reject the null hypothesis, can we make a general statement about the population based on the sample findings?

What is the different between a hypothesis and a theory? Support your answer with an example.

Selecting type of survey is one of the most critical decisions in social research. What consideration you may use to select a survey method?

Why is statistical significance not necessarily of practical important difference to a business decision? Provide an example and explain. Why do statisticians play only a limited role in deciding whether statistical significance requires a business action?

Week 2

What is an independent sample? What is a related sample? When should researchers use different hypothesis tests for independent and related samples? Is one type of sample preferable over the other?

What is a Type I error? Explain how the cumulative Type I error affects your decision making. How is the two independent sample t-test different from ANOVA?

Describe the requirements that must be met before an ANOVA test can be used. Discuss what the researcher should do if one of these requirements is not met.

What is the role of probability in business research?

Discuss the differences between validity and reliability. Are the two concepts related or not. Support your answer with an example.

Week 3

Can the formal hypothesis testing approach be used for nonparametric tests? How are parametric and nonparametric statistics different? How are parametric and nonparametric statistics similar?

Under what circumstances should a nonparametric test be used? Explain. What are the strengths and weaknesses of nonparametric tests? Can the outcomes of nonparametric tests be generalized to populations?

Why do you use the chi-square statistic? What type of data is used with chi square analysis? What are the nonparametric tests that correspond to each type of parametric test in Week 1 and Week 2?

What are some business situation in which ANOVA would be more appropriate than a (Z) or (t) test?

What are business problems in which the application of Chi ? Square statistic is appropriate?

How can bias affect business decision? Provide an example.

Week 4

Does correlation equal causation? Does the strength of correlation depend on the direction? What is the meaning of a zero correlation? Explain your answers.

What is the difference between an independent and a dependent variable? Does a regression model imply causation? Why or why not?

What are the requirements that must be met for a regression analysis? What happens if these requirements are violated?

What is multi-collinearity and how does it affects the multi-regression model?

What are the linear relationship between two variables, both the coefficient of determination and the sample correlation coefficient?

Which tests do you like the most? The (Z) test, the (t) test, ANOVA, or the Chi Square. Please explain.

Week 5

What is the purpose of forecasting? Why are forecasts not always correct? What are the limitations of forecasting?

Why is the trend commonly thought to be the most important component of forecasting? How is the linear trend method related to linear regression? Why are simple moving averages and weighted averages commonly used forms of forecasting?

Whats the most important concept youve learned from this course that you can take away and use in either your work or personal life?

Is forecasting important in your organization. What are the limitations of forecasting ?

What are the differences between Six-Sigma and cause-and effect (Ishikawa) diagram. Support your answer with an example.