True/False Questions

31. The decision rule is a statement of claim that can be statistically tested.

A) True

B) False

32. Data should be collected before stating the decision rule to prevent the results from affecting whether the null hypothesis should be accepted or rejected.

A) True

B) False

33. The significance level indicates the probability that random (sampling) error has occurred.

A) True

B) False

34. Measurement error stemming from the phrasing of or interpretation of questions is a major factor in determining data validity.

A) True

B) False

35. If a difference in measurement is statistically significant, then it is practically significant.

A) True

B) False

36. Researchers need to consider the overall mean values before determining whether an action should really be recommended to the client.

A) True

B) False

37. Commercial researchers argue that that the real question to be asked is not whether results are significant, but instead whether or not the significant differences found have practical importance to managers.

A) True

B) False

38. Type II error occurs when the null hypothesis in the population is true and the researcher rejects the null hypothesis.

A) True

B) False

39. The value of beta is inversely related to the value of alpha.

A) True

B) False

40. Alpha refers to type I error.

A) True

B) False