Large differences in the numerator of a statistical test for differences for means are the only critical factor in determining statistical significance. (Points : 1)True False Question 2.2. The independent t-test is based on which distribution?@Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)The distribution of difference scores.The distribution of sample means.The distribution of error scores.The distribution of z.Question 3.3. The desired sample depends on all of these factors except?@Answer found in section 3.4, in Statistics for Managers(Points : 1)The desired certainty of results, expressed as a z score.The variance in the data set.The allowable error or variation from the actual population mean.The size of the population to be sampled.Question 4.4. The z-test can be used to test mean differences even when the initial data set is not normally distributed. (Points : 1)True False Question 5.5. What is the relationship between the power of a statistical test and decision errors?@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)Powerful tests minimize the risk of decision errors.Powerful tests are more inclined to type II than type I errors.Powerful tests compensate for decision errors with stronger effect sizes.Powerful tests minimize type II errors.