Ashford 3: - Week 2 - Assignment

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Ashford 3 : - Week 2 - Quiz

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Question 1. 1. The standard error of the mean is actually the standard deviation of all of the means that make up the distribution of sample means. (Points : 1)

True False

Question 2. 2. What statistic measures data variability in both groups in an independent t-test? @Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)

The critical value of t. The M1 – M2 difference. The calculated value of t. The SEd

Question 3. 3. Statistical significance for a tested mean difference means practical significance as well. (Points : 1)

True False

Question 4. 4. What is the advantage of a one-tailed test over a two-tailed test? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)

Less data variability in the groups involved. Smaller critical values indicate significance. Rejecting at HO = .05 involves less chance of error. There are fewer calculations to make.

Question 5. 5. The desired sample size depends only the size of the population to be tested. (Points : 1)

True False

Question 6. 6. The critical value of t to determine statistical significance depends on the sample size. (Points : 1)

True False

Question 7. 7. What question does the z test answer? (Points : 1)

Is the individual characteristic of the group? Has there been a type I error? Does the sample represent the population? Are the data normal?

Question 8. 8. What is the alternate hypothesis in a problem where sales group two is predicted to be “. . . significantly less productive than sales group one?” @Answer found in sections 4.3 The One-sample t-Test and 4.4 Hypothesis Testing, in Statistics for Managers (Points : 1)

HA: μ1 ≠ μ 2 HA: μ 1= μ 2 HA: μ 1> μ2 HA: μ 1< μ 2

Question 9. 9. How do statistical tests like the one sample t adjust for the absence of parameter values? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)

The values are estimated from sample data. The values are assumed to have a constant value. The test is reconstructed so that the values aren’t needed. The test is reformulated so that data are always normal.

Question 10. 10. What is the probability of type II error when the null hypothesis is rejected? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)

0.5 0.05 0.025 0

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