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A. Upper

B. Middle

C. Lower

D. Both a and c

A. True

B. False

A. Confidence Boundaries

B. Confidence Limits

C. Confidence Interval

D. Both a and b

A. Two

B. Three

C. Four

D. Five

A. Interval

B. Range

C. Boundary

D. Both a and b

A. True

B. False

A. First

B. Last

C. Smallest

D. Both a and c

A. Point estimation

B. Interval estimation

C. Range estimation

D. None of these

A. First

B. Last

C. Largest

D. Both a and c

A. An educated guess.

B. Appropriation.

C. Significance testing.

D. Estimation.

A. An educated guess

B. Differentiating

C. Sampling

D. Estimation

A. It defines the range of scores within which the population mean is likely to be containe

B. The sample mean is equal to the population mean on average.

C. The sample mean is an unbiased estimator of the mean difference.

D. It is a very precise estimate of the population mean.

A. There is not enough information to answer this question.

B. Â±1.645.

C. Â±0.5.

D. Â±2.5.

A. There is not enough information to answer this question.

B. Â±1.645.

C. Â±0.5.

D. Â±2.5.

A. Z test

B. T test

C. None

D. Both A and B

A. Z test

B. One sample

C. Related samples

D. Two-independent sample

A. 80% CI 15.9, 28.7

B. 80% CI 17.6, 27.0

C. 780% CI 12.1, 32.5

D. There is not enough information to answer this question.

A. 80% CI 15.9, 28.7

B. 80% CI 17.6, 27.0

C. 780% CI 12.1, 32.5

D. There is not enough information to answer this question.

A. 6.4

B. 7.0

C. 5.0

D. 3.2

A. 95% CI 3.5, 20.5

B. 95% CI 0.35, 30.65

C. 95% CI 2.35, 27.65

D. There is not enough information to answer this question

A. The estimate will be more precise.

B. The estimate will be less precise.

C. The precision of her estimate will not change.

D. It depends on the size of the population.

A. True

B. False

A. True

B. False

A. True

B. False

A. True

B. False

A. True

B. False