Question 1

The standard deviation of a distribution of means is

Accepted Answer

A) figured by subtracting the variance from the sample mean and taking the square root. 
B) the square root of the variance of the distribution of means. 
C) the population variance divided by the N in each sample. 
D) the same as the square root of the sample variance. 
A) figured by subtracting the variance from the sample mean and taking the square root. 
B) the square root of the variance of the distribution of means. 
C) the population variance divided by the N in each sample. 
D) the same as the square root of the sample variance.

Question 2

In hypothesis testing,after figuring the Z score for the sample's mean,the next step would be to compare this Z score to

Accepted Answer

A) the parameters of the known population distribution. 
B) an estimated distribution based on earlier research findings. 
C) the distribution of means of all the possible samples in the experimental condition from the research. 
D) the distribution of means that would be found if the null hypothesis were true. 
A) the parameters of the known population distribution. 
B) an estimated distribution based on earlier research findings. 
C) the distribution of means of all the possible samples in the experimental condition from the research. 
D) the distribution of means that would be found if the null hypothesis were true.

Question 3

If a population is not normally distributed,the shape of a distribution of means

Accepted Answer

A) will always be normal. 
B) will never be normal. 
C) will be normal when the sample size is more than 30. 
D) will not be normal when the sample size is more than 30. 
A) will always be normal. 
B) will never be normal. 
C) will be normal when the sample size is more than 30. 
D) will not be normal when the sample size is more than 30.

Question 4

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10.
-If the sample mean is 45,the lower limit for the 99% confidence interval is __________.

Accepted Answer

The answer of use the following information. A population is...

Question 5

A large school district is considering implementing a program that, if successful, would improve the reading scores of its students by 10 points. The current reading scores for the district are normally distributed with a mean of 37 and a standard deviation of 12. The administrators decide to test the new program in one school of 340 students.
-What is the predicted mean of the experimental distribution?

Accepted Answer

A) 12 
B) 27 
C) 37 
D) 47 
A) 12 
B) 27 
C) 37 
D) 47

Question 6

In general,the shape of a distribution of means tends to be

Accepted Answer

A) unimodal and symmetrical. 
B) bimodal and symmetrical. 
C) unimodal and skewed. 
D) rectangular and symmetrical. 
A) unimodal and symmetrical. 
B) bimodal and symmetrical. 
C) unimodal and skewed. 
D) rectangular and symmetrical.

Question 7

A manufacturer who is considering the implementation of a one-week training program for all new employees decides to test the program with the next 100 employees hired, and then compare their productivity rate to the productivity rate of new employees based on past records—a rate that is normally distributed with a mean of 60 and a standard deviation of 8. The new program needs to produce a minimum improvement of 4 to be considered worthwhile.
-What is the comparison distribution's standard deviation?

Accepted Answer

A) 0.80 
B) 0.64 
C) 8 
D) 6.4 
A) 0.80 
B) 0.64 
C) 8 
D) 6.4

Question 8

The standard deviation of a distribution of means is sometimes called "the standard error of the mean," or the "standard error," because

Accepted Answer

A) it is an inaccurate estimate of a sample standard deviation and cannot be used to determine the variance. 
B) it is calculated by summing the errors figured by subtracting sample means from the population variance. 
C) it is frequently used as an "error term" when calculating the estimated sample variance. 
D) it represents the degree to which particular sample means are "in error" as estimates of the mean of the population of individual scores. 
A) it is an inaccurate estimate of a sample standard deviation and cannot be used to determine the variance. 
B) it is calculated by summing the errors figured by subtracting sample means from the population variance. 
C) it is frequently used as an "error term" when calculating the estimated sample variance. 
D) it represents the degree to which particular sample means are "in error" as estimates of the mean of the population of individual scores.

Question 9

An experimental psychologist is interested in whether the color of an animal's surroundings affects learning rate. He tests 16 rats in a box with colorful wallpaper. The average rat (of this strain) can learn to run this type of maze in a box without any special coloring in an average of 25 trials, with a variance of 64, and a normal distribution. The mean number of trials to learn the maze, for the rats tested with the colorful wallpaper, is 11.
-The shape of the distribution of means

Accepted Answer

A) will be rectangular. 
B) will be flatter than a normal curve. 
C) will be approximately normal. 
D) cannot be determined from the information given. 
A) will be rectangular. 
B) will be flatter than a normal curve. 
C) will be approximately normal. 
D) cannot be determined from the information given.

Question 10

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution.
-If the sample mean is 75,the lower limit for the 99% confidence interval is __________.

Accepted Answer

The answer of use the following information. One hundred people...

Question 11

The mean of a distribution of means is __________ the mean of the population.

Accepted Answer

equal to,t

Question 12

A private school promoted itself by advertising that its graduates had an average SAT verbal score of 550 with a standard deviation of 100.At the end of the school year,the Parent-Teacher Association (PTA)decided to see if the SAT scores for students at the school were different from the advertised average and found that the average SAT verbal score for 80 graduating seniors was 532.Using the .05 significance level,what should the PTA conclude about the school's claim?
a.Use the five steps of hypothesis testing.
b.Sketch the distributions involved.
c.Advanced topic: Figure the confidence limits for the 95% confidence interval.
d.Explain the logic of what you did to a person who understands hypothesis testing for studies in which the sample consists of a single individual but is unfamiliar with hypothesis testing involving a sample of more than one individual.Be sure your explanation includes a discussion of the distribution of means-what it is,the logic of how it is figured-and its role in the overall hypothesis testing process.Advanced topic: Explain the logic and computation of the confidence intervals.

Accepted Answer

μ_M = 550,σ²_M = 125,σ_M = 11.18,shape = normal

Question 13

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10.
-If the sample mean is 45,the upper limit for the 95% confidence interval is __________.

Accepted Answer

The answer of use the following information. A population is...

Question 14

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10.
-The shape of the distribution of means in this example is __________.

Accepted Answer

The answer of use the following information. A population is...

Question 15

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution.
-The shape of the comparison distribution is __________.

Accepted Answer

The answer of use the following information. One hundred people...

Question 16

The 99% confidence interval is the region in a group of scores that

Accepted Answer

A) a psychologist can be 99% confident includes the true population mean. 
B) a psychologist can be 1% confident includes the true population mean. 
C) includes 49% of the scores below the mean and 50% of the scores above the mean. 
D) includes 50% of the scores below the mean and 49% of the scores above the mean. 
A) a psychologist can be 99% confident includes the true population mean. 
B) a psychologist can be 1% confident includes the true population mean. 
C) includes 49% of the scores below the mean and 50% of the scores above the mean. 
D) includes 50% of the scores below the mean and 49% of the scores above the mean.

Question 17

The variance of a distribution of means equals the variance of the population of individuals divided by __________.

Accepted Answer

the number of indivi

Question 18

A distribution of means will be approximately normal so long as there are at least __________ scores in the sample.

Accepted Answer

The answer of A distribution of means will be approximately...

Question 19

The variance of a distribution of means of samples of more than one is

Accepted Answer

A) smaller than the original population variance. 
B) the same as the original population variance. 
C) greater than the original population variance. 
D) unrelated to the original population variance. 
A) smaller than the original population variance. 
B) the same as the original population variance. 
C) greater than the original population variance. 
D) unrelated to the original population variance.

Question 20

Which of the following statements regarding confidence intervals is FALSE?

Accepted Answer

A) Confidence intervals are misused more often than significance tests. 
B) Confidence intervals can be used in hypothesis testing. 
C) Confidence intervals emphasize numerical estimates. 
D) Confidence intervals are sometimes reported in research articles. 
A) Confidence intervals are misused more often than significance tests. 
B) Confidence intervals can be used in hypothesis testing. 
C) Confidence intervals emphasize numerical estimates. 
D) Confidence intervals are sometimes reported in research articles.

The standard deviation of a distribution of means is

In hypothesis testing,after figuring the Z score for the sample's mean,the next step would be to compare this Z score to

If a population is not normally distributed,the shape of a distribution of means

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10. -If the sample mean is 45,the lower limit for the 99% confidence interval is __________.

In general,the shape of a distribution of means tends to be

The standard deviation of a distribution of means is sometimes called "the standard error of the mean," or the "standard error," because

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution. -If the sample mean is 75,the lower limit for the 99% confidence interval is __________.

The mean of a distribution of means is __________ the mean of the population.

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10. -If the sample mean is 45,the upper limit for the 95% confidence interval is __________.

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10. -The shape of the distribution of means in this example is __________.

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution. -The shape of the comparison distribution is __________.

The 99% confidence interval is the region in a group of scores that

The variance of a distribution of means equals the variance of the population of individuals divided by __________.

A distribution of means will be approximately normal so long as there are at least __________ scores in the sample.

The variance of a distribution of means of samples of more than one is

Which of the following statements regarding confidence intervals is FALSE?

Displaying the Order in a Group of Numbers

Central Tendency and Variability

Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power

Introduction to T Tests: Single Sample and Dependent Means

The T Test for Independent Means

Introduction to the Analysis of Variance

Factorial Analysis of Variance

Correlation

Prediction

Chi-Square Tests

Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests

The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

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Exam 5: Hypothesis Tests With Means of Samples

The standard deviation of a distribution of means is

In hypothesis testing,after figuring the Z score for the sample's mean,the next step would be to compare this Z score to

If a population is not normally distributed,the shape of a distribution of means

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10. -If the sample mean is 45,the lower limit for the 99% confidence interval is __________.

In general,the shape of a distribution of means tends to be

The standard deviation of a distribution of means is sometimes called "the standard error of the mean," or the "standard error," because

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution. -If the sample mean is 75,the lower limit for the 99% confidence interval is __________.

The mean of a distribution of means is __________ the mean of the population.

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10. -If the sample mean is 45,the upper limit for the 95% confidence interval is __________.

use the following information. A population is normally distributed with μ = 50,σ = 8,and N = 10. -The shape of the distribution of means in this example is __________.

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution. -The shape of the comparison distribution is __________.

The 99% confidence interval is the region in a group of scores that

The variance of a distribution of means equals the variance of the population of individuals divided by __________.

A distribution of means will be approximately normal so long as there are at least __________ scores in the sample.

The variance of a distribution of means of samples of more than one is

Which of the following statements regarding confidence intervals is FALSE?

Displaying the Order in a Group of Numbers

Central Tendency and Variability

Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power

Introduction to T Tests: Single Sample and Dependent Means

The T Test for Independent Means

Introduction to the Analysis of Variance

Factorial Analysis of Variance

Correlation

Prediction

Chi-Square Tests

Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests

The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

Filters