Question 1

The t-distribution was derived in order to account for the extreme scores more likely to occur in small samples.

Accepted Answer

A) True 
 B)False

Question 2

Explain the difference between a point estimate and an interval estimate. Give an example of each. Describe when a point estimate should be calculated versus an interval estimate.

Accepted Answer

A point estimate is your single best gue

Question 3

The shape of the t-distribution changes based upon sample size.

Accepted Answer

A) True 
 B)False

Question 4

You randomly select a sample where n = 15, x̄ = 20, and s = 1.5. Determine the 95% margin of error.

Accepted Answer

A)  5.8% 
B)  0.2% 
C)  4.0% 
D)  19.0% 
A)  5.8% 
B)  0.2% 
C)  4.0% 
D)  19.0%

Question 5

You randomly select a sample of n = 16 organizations. For this sample, the standard deviation is 8. To calculate a 99% confidence interval, which of the following formulas would you use?

Accepted Answer

A)  x̄ ± 1.753 * 2 
B)  x̄ ± 2.131 * 2 
C)  x̄ ± 1.753 * 0.5 
D)  x̄ ± 2.131 * 0.5 
A)  x̄ ± 1.753 * 2 
B)  x̄ ± 2.131 * 2 
C)  x̄ ± 1.753 * 0.5 
D)  x̄ ± 2.131 * 0.5

Question 6

Your population mean can change based upon the results of computing the confidence interval.

Accepted Answer

A) True 
 B)False

Question 7

Your point estimate is likely to be more accurate if ______.

Accepted Answer

A)  the standard error is large 
B)  the standard deviation is large 
C)  the sample size is large 
D)  all of these 
A)  the standard error is large 
B)  the standard deviation is large 
C)  the sample size is large 
D)  all of these

Question 8

Interval estimates provide a range of values derived from a sample as an estimate of a parameter.

Accepted Answer

A) True 
 B)False

Question 9

A point estimate is a single value.

Accepted Answer

A) True 
 B)False

Question 10

The margin of error generally refers to half of the confidence interval converted to a percentage of the value being estimated.

Accepted Answer

A) True 
 B)False

Question 11

You randomly draw a sample of n = 9 where F1F1F1S1F1F1F10 = 4. If the sample mean is 1, which of the following are the bounds of a 99% confidence interval?

Accepted Answer

A)  -3.47, 5.47 
B)  -5.47, 3.47 
C)  -3.33, 5.33 
D)  -5.33, 3.33 
A)  -3.47, 5.47 
B)  -5.47, 3.47 
C)  -3.33, 5.33 
D)  -5.33, 3.33

Question 12

When n > 30, you would expect ______.

Accepted Answer

A)  the z-distribution and t-distribution to be dissimilar 
B)  the z-distribution and t-distribution to be similar 
C)  the z-distribution and t-distribution to be identical 
D)  none of these 
A)  the z-distribution and t-distribution to be dissimilar 
B)  the z-distribution and t-distribution to be similar 
C)  the z-distribution and t-distribution to be identical 
D)  none of these

The t-distribution was derived in order to account for the extreme scores more likely to occur in small samples.

Explain the difference between a point estimate and an interval estimate. Give an example of each. Describe when a point estimate should be calculated versus an interval estimate.

The shape of the t-distribution changes based upon sample size.

You randomly select a sample where n = 15, x̄ = 20, and s = 1.5. Determine the 95% margin of error.

You randomly select a sample of n = 16 organizations. For this sample, the standard deviation is 8. To calculate a 99% confidence interval, which of the following formulas would you use?

Your population mean can change based upon the results of computing the confidence interval.

Your point estimate is likely to be more accurate if ______.

Interval estimates provide a range of values derived from a sample as an estimate of a parameter.

A point estimate is a single value.

The margin of error generally refers to half of the confidence interval converted to a percentage of the value being estimated.

You randomly draw a sample of n = 9 where  = 4. If the sample mean is 1, which of the following are the bounds of a 99% confidence interval?

When n > 30, you would expect ______.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

Exam 6: Estimation and Confidence Intervals

The t-distribution was derived in order to account for the extreme scores more likely to occur in small samples.

Explain the difference between a point estimate and an interval estimate. Give an example of each. Describe when a point estimate should be calculated versus an interval estimate.

The shape of the t-distribution changes based upon sample size.

You randomly select a sample where n = 15, x̄ = 20, and s = 1.5. Determine the 95% margin of error.

You randomly select a sample of n = 16 organizations. For this sample, the standard deviation is 8. To calculate a 99% confidence interval, which of the following formulas would you use?

Your population mean can change based upon the results of computing the confidence interval.

Your point estimate is likely to be more accurate if ______.

Interval estimates provide a range of values derived from a sample as an estimate of a parameter.

A point estimate is a single value.

The margin of error generally refers to half of the confidence interval converted to a percentage of the value being estimated.

You randomly draw a sample of n = 9 where  = 4. If the sample mean is 1, which of the following are the bounds of a 99% confidence interval?

When n > 30, you would expect ______.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters