Question 1

The estimation formula for the one-sample z is   .

Accepted Answer

A) True 
 B)False  True

Question 2

In a sample of 12 participants,a researcher estimates the 80% CI for a sample with a mean of M = 22.3 and an estimated standard error (   )of 4.7.What is the confidence interval at this level of confidence?

Accepted Answer

A) 80% CI 12.1,32.5 
B) 80% CI 17.6,27.0 
C) 80% CI 15.9,28.7 
D) There is not enough information to answer this question. 
A) 80% CI 12.1,32.5 
B) 80% CI 17.6,27.0 
C) 80% CI 15.9,28.7 
D) There is not enough information to answer this question. C

Question 3

Which type of error is used to compute the confidence interval for two related samples selected from at least one population with an unknown variance?

Accepted Answer

A) standard error 
B) estimated standard error 
C) estimated standard error for the difference 
D) estimated standard error for the difference scores 
A) standard error 
B) estimated standard error 
C) estimated standard error for the difference 
D) estimated standard error for the difference scores D

Question 4

Which type of error is used to compute the confidence interval for two independent samples selected from at least one population with an unknown variance?

Accepted Answer

A) standard error 
B) estimated standard error 
C) estimated standard error for the difference 
D) estimated standard error for the difference scores 
A) standard error 
B) estimated standard error 
C) estimated standard error for the difference 
D) estimated standard error for the difference scores

Question 5

Researchers can infer decisions made in hypothesis testing based on information provided by confidence intervals.

Accepted Answer

A) True 
 B)False

Question 6

When the null hypothesis is outside a confidence interval,this indicates that it would likely be retained with hypothesis testing.

Accepted Answer

A) True 
 B)False

Question 7

A researcher compares the height of male executives in the U.S.to the average height of males (µ = 67 inches).He determines that the average height of male executives is 70 inches (95% confidence interval [CI] 68-72).Based on this result,what would the decision have been for a hypothesis test?

Accepted Answer

A) Reject the null hypothesis. 
B) Retain the null hypothesis. 
C) There is not enough information to answer this question. 
A) Reject the null hypothesis. 
B) Retain the null hypothesis. 
C) There is not enough information to answer this question.

Question 8

The estimation formula for the related samples t is   .

Accepted Answer

A) True 
 B)False

Question 9

In a sample of 20 participants,a researcher estimates the 95% CI for a sample with a mean of M = 5.4 and an estimated standard error (   )of 1.6.What is the upper confidence limit for this interval?

Accepted Answer

A) 2.1 
B) 3.8 
C) 7.0 
D) 8.8 
A) 2.1 
B) 3.8 
C) 7.0 
D) 8.8

Question 10

The smaller the level of confidence,the ________ precise the estimate.

Accepted Answer

A) more 
B) less 
A) more 
B) less

Question 11

A researcher concludes that stress levels are higher following a major versus a minor traffic accident (95% confidence interval [CI] 1.86-3.02).If the null hypothesis stated that there would be no difference (null hypothesis: µ = 0),then what is the effect size for this confidence interval?

Accepted Answer

A) Between 1.86% and 3.02% of the variability in stress levels can be accounted for by type of traffic accident. 
B) Ratings of stress shifted more than 1.86 points in the population. 
C) Ratings of stress shifted between 1.86 and 3.02 points in the population. 
D) There is not enough information to answer this question. 
A) Between 1.86% and 3.02% of the variability in stress levels can be accounted for by type of traffic accident. 
B) Ratings of stress shifted more than 1.86 points in the population. 
C) Ratings of stress shifted between 1.86 and 3.02 points in the population. 
D) There is not enough information to answer this question.

Question 12

A point estimate is associated with a high level of confidence that the estimate is in fact equal to the population mean.

Accepted Answer

A) True 
 B)False

Question 13

In a sample of 14 participants,a researcher estimates the 90% CI for a sample with a mean of   = 10.7 and an estimated standard error for the difference (   )of 2.9.What is the confidence interval at this level of confidence?

Accepted Answer

A) 90% CI 4.4,17.0 
B) 90% CI 5.5,15.9 
C) 90% CI 7.8,13.6 
D) There is not enough information to answer this question. 
A) 90% CI 4.4,17.0 
B) 90% CI 5.5,15.9 
C) 90% CI 7.8,13.6 
D) There is not enough information to answer this question.

Question 14

A researcher estimates the 95% CI for a sample with a mean of M = 3.26 and a standard error (   )of 0.91.What is the lower confidence limit for this interval?

Accepted Answer

A) 1.48 
B) 2.35 
C) 4.17 
D) 5.04 
A) 1.48 
B) 2.35 
C) 4.17 
D) 5.04

Question 15

There is no difference between a point estimate and an interval estimate.

Accepted Answer

A) True 
 B)False

Question 16

The smaller the level of confidence,the more precise the estimate.

Accepted Answer

A) True 
 B)False

Question 17

Which of the following words best describes certainty?

Accepted Answer

A) inferential 
B) significance 
C) precision 
D) confidence 
A) inferential 
B) significance 
C) precision 
D) confidence

Question 18

The estimated standard error is used in the formula to estimate the population mean for the one-sample z.

Accepted Answer

A) True 
 B)False

Question 19

The estimation formula for the one-sample t is   .

Accepted Answer

A) True 
 B)False

Question 20

The larger the level of confidence,the ________ precise the interval estimate.

Accepted Answer

A) more 
B) less 
A) more 
B) less

The estimation formula for the one-sample z is .

In a sample of 12 participants,a researcher estimates the 80% CI for a sample with a mean of M = 22.3 and an estimated standard error ( )of 4.7.What is the confidence interval at this level of confidence?

Which type of error is used to compute the confidence interval for two related samples selected from at least one population with an unknown variance?

Which type of error is used to compute the confidence interval for two independent samples selected from at least one population with an unknown variance?

Researchers can infer decisions made in hypothesis testing based on information provided by confidence intervals.

When the null hypothesis is outside a confidence interval,this indicates that it would likely be retained with hypothesis testing.

A researcher compares the height of male executives in the U.S.to the average height of males (µ = 67 inches).He determines that the average height of male executives is 70 inches (95% confidence interval [CI] 68-72).Based on this result,what would the decision have been for a hypothesis test?

The estimation formula for the related samples t is .

In a sample of 20 participants,a researcher estimates the 95% CI for a sample with a mean of M = 5.4 and an estimated standard error ( )of 1.6.What is the upper confidence limit for this interval?

The smaller the level of confidence,the ________ precise the estimate.

A researcher concludes that stress levels are higher following a major versus a minor traffic accident (95% confidence interval [CI] 1.86-3.02).If the null hypothesis stated that there would be no difference (null hypothesis: µ = 0),then what is the effect size for this confidence interval?

A point estimate is associated with a high level of confidence that the estimate is in fact equal to the population mean.

In a sample of 14 participants,a researcher estimates the 90% CI for a sample with a mean of = 10.7 and an estimated standard error for the difference ( )of 2.9.What is the confidence interval at this level of confidence?

A researcher estimates the 95% CI for a sample with a mean of M = 3.26 and a standard error ( )of 0.91.What is the lower confidence limit for this interval?

There is no difference between a point estimate and an interval estimate.

The smaller the level of confidence,the more precise the estimate.

Which of the following words best describes certainty?

The estimated standard error is used in the formula to estimate the population mean for the one-sample z.

The estimation formula for the one-sample t is .

The larger the level of confidence,the ________ precise the interval estimate.

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 11: One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

The estimation formula for the one-sample z is .

In a sample of 12 participants,a researcher estimates the 80% CI for a sample with a mean of M = 22.3 and an estimated standard error ( )of 4.7.What is the confidence interval at this level of confidence?

Which type of error is used to compute the confidence interval for two related samples selected from at least one population with an unknown variance?

Which type of error is used to compute the confidence interval for two independent samples selected from at least one population with an unknown variance?

Researchers can infer decisions made in hypothesis testing based on information provided by confidence intervals.

When the null hypothesis is outside a confidence interval,this indicates that it would likely be retained with hypothesis testing.

A researcher compares the height of male executives in the U.S.to the average height of males (µ = 67 inches).He determines that the average height of male executives is 70 inches (95% confidence interval [CI] 68-72).Based on this result,what would the decision have been for a hypothesis test?

The estimation formula for the related samples t is .

In a sample of 20 participants,a researcher estimates the 95% CI for a sample with a mean of M = 5.4 and an estimated standard error ( )of 1.6.What is the upper confidence limit for this interval?

The smaller the level of confidence,the ________ precise the estimate.

A researcher concludes that stress levels are higher following a major versus a minor traffic accident (95% confidence interval [CI] 1.86-3.02).If the null hypothesis stated that there would be no difference (null hypothesis: µ = 0),then what is the effect size for this confidence interval?

A point estimate is associated with a high level of confidence that the estimate is in fact equal to the population mean.

In a sample of 14 participants,a researcher estimates the 90% CI for a sample with a mean of = 10.7 and an estimated standard error for the difference ( )of 2.9.What is the confidence interval at this level of confidence?

A researcher estimates the 95% CI for a sample with a mean of M = 3.26 and a standard error ( )of 0.91.What is the lower confidence limit for this interval?

There is no difference between a point estimate and an interval estimate.

The smaller the level of confidence,the more precise the estimate.

Which of the following words best describes certainty?

The estimated standard error is used in the formula to estimate the population mean for the one-sample z.

The estimation formula for the one-sample t is .

The larger the level of confidence,the ________ precise the interval estimate.

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters