Question 1

The sample mean is an unbiased estimator of the population mean.

Accepted Answer

A) True 
 B)False

Question 2

A researcher selects from a participant pool of 4 males and 6 females.He determines that the probability of selecting 2 female participants is p = .30.Based on this probability,what strategy did the researcher use to sample participants.

Accepted Answer

A) sampling with replacement 
B) sampling without replacement 
A) sampling with replacement 
B) sampling without replacement

Question 3

Each of the following statements are true,except that

Accepted Answer

A) increasing the sample size will decrease standard error 
B) the larger the sample size,the larger the standard error 
C) the larger the standard deviation in the population,the larger the standard error 
D) both B and C 
A) increasing the sample size will decrease standard error 
B) the larger the sample size,the larger the standard error 
C) the larger the standard deviation in the population,the larger the standard error 
D) both B and C

Question 4

If a researcher selects a sample with a mean of 8,then the mean of the sampling distribution of possible sample means will also equal 8.

Accepted Answer

A) True 
 B)False

Question 5

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 25,   = 5,   = 7
Researcher B: n = 25,   = 32,   = 7

Accepted Answer

A) Researcher A 
B) Researcher B 
C) They both have the same standard error. 
A) Researcher A 
B) Researcher B 
C) They both have the same standard error.

Question 6

A researcher selects a sample of 121 participants from a population with a mean of 32 and a standard deviation of 22.What is the standard error of the mean?

Accepted Answer

A) 32 
B) 2.0 
C) 0.5 
D) There is not enough information to answer this question. 
A) 32 
B) 2.0 
C) 0.5 
D) There is not enough information to answer this question.

Question 7

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1.

Accepted Answer

A) True 
 B)False

Question 8

A researcher randomly selects a sample of athletes and reports that their average score on a health and fitness scale is 23.Based on the characteristics of the sample mean,what does this say about the mean in the population?

Accepted Answer

A) Nothing;it was just a sample. 
B) There is no way to know without knowing the size of the sample. 
C) It tells us that the mean in the population is no less than 23. 
D) We expect that the population mean is equal to 23 because the sample mean is an unbiased estimator of the population mean. 
A) Nothing;it was just a sample. 
B) There is no way to know without knowing the size of the sample. 
C) It tells us that the mean in the population is no less than 23. 
D) We expect that the population mean is equal to 23 because the sample mean is an unbiased estimator of the population mean.

Question 9

Suppose that a researcher selects a sample of participants from a population.If the shape of the distribution in this population is negatively skewed,then what is the shape of the sampling distribution of sample variances?

Accepted Answer

A) approximately positively skewed 
B) approximately negatively skewed 
C) approximately normally distributed 
D) There is not enough information to answer this question,because the population mean and variance are not given. 
A) approximately positively skewed 
B) approximately negatively skewed 
C) approximately normally distributed 
D) There is not enough information to answer this question,because the population mean and variance are not given.

Question 10

The sampling distribution of sample variances is approximately normally distributed.

Accepted Answer

A) True 
 B)False

Question 11

Regardless of the distribution of the population,the sampling distribution of sample means will be approximately normally distributed.What characteristic of the mean explains this?

Accepted Answer

A) unbiased estimator 
B) central limit theorem 
C) minimal variance 
D) none of the above 
A) unbiased estimator 
B) central limit theorem 
C) minimal variance 
D) none of the above

Question 12

A researcher increases the sample size,which will:

Accepted Answer

A) increase the value of standard error 
B) decrease the value of standard error 
C) reduce variability in the population 
D) increase variability in the population 
A) increase the value of standard error 
B) decrease the value of standard error 
C) reduce variability in the population 
D) increase variability in the population

Question 13

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 36,   = 12,   = 9
Researcher B: n = 36,   = 12,   = 6

Accepted Answer

A) Researcher A 
B) Researcher B 
C) They both have the same standard error. 
A) Researcher A 
B) Researcher B 
C) They both have the same standard error.

Question 14

A researcher wants to select a sample of 30 participants from one of two populations.In Population A,the standard deviation is 12.In Population B,the standard deviation is 4.In this example,selecting a sample from Population A will produce the smallest standard error.

Accepted Answer

A) True 
 B)False

Question 15

A researcher selects a sample of 9 participants from a population with a mean of 8 and a standard deviation of 3.About 14% of the sample means in this sampling distribution should be between a sample mean of

Accepted Answer

A) 6 and 8 
B) 5 and 6 
C) 9 and 10 
D) 10 and 11 
A) 6 and 8 
B) 5 and 6 
C) 9 and 10 
D) 10 and 11

Question 16

A sampling distribution is a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population.

Accepted Answer

A) True 
 B)False

Question 17

What is the central limit theorem?

Accepted Answer

A) It explains that sample means will vary minimally from the population mean. 
B) It explains that a sampling distribution of possible sample means is approximately normally distributed,regardless of the shape of the distribution in the population. 
C) It explains that if we select a sample at random,then on average we can expect the sample mean to equal the population mean. 
D) all of the above 
A) It explains that sample means will vary minimally from the population mean. 
B) It explains that a sampling distribution of possible sample means is approximately normally distributed,regardless of the shape of the distribution in the population. 
C) It explains that if we select a sample at random,then on average we can expect the sample mean to equal the population mean. 
D) all of the above

Question 18

A sampling distribution of the sample mean or variance is

Accepted Answer

A) a distribution of all measures that could be obtained in a given sample of a given size 
B) a distribution of all scores that could be obtained in samples of a given size from one or more populations 
C) a distribution of all scores that could be obtained in a population 
D) a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population 
A) a distribution of all measures that could be obtained in a given sample of a given size 
B) a distribution of all scores that could be obtained in samples of a given size from one or more populations 
C) a distribution of all scores that could be obtained in a population 
D) a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population

Question 19

A researcher selects from a participant pool of 4 males and 6 females.He determines that the probability of selecting 2 male participants is p = .16.Based on this probability,what strategy did the researcher use to sample participants.

Accepted Answer

A) sampling with replacement 
B) sampling without replacement 
A) sampling with replacement 
B) sampling without replacement

Question 20

The central limit theorem states that the sample mean will equal the population mean on average.

Accepted Answer

A) True 
 B)False

The sample mean is an unbiased estimator of the population mean.

A researcher selects from a participant pool of 4 males and 6 females.He determines that the probability of selecting 2 female participants is p = .30.Based on this probability,what strategy did the researcher use to sample participants.

Each of the following statements are true,except that

If a researcher selects a sample with a mean of 8,then the mean of the sampling distribution of possible sample means will also equal 8.

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 25, = 5, = 7 Researcher B: n = 25, = 32, = 7

A researcher selects a sample of 121 participants from a population with a mean of 32 and a standard deviation of 22.What is the standard error of the mean?

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1.

A researcher randomly selects a sample of athletes and reports that their average score on a health and fitness scale is 23.Based on the characteristics of the sample mean,what does this say about the mean in the population?

Suppose that a researcher selects a sample of participants from a population.If the shape of the distribution in this population is negatively skewed,then what is the shape of the sampling distribution of sample variances?

The sampling distribution of sample variances is approximately normally distributed.

Regardless of the distribution of the population,the sampling distribution of sample means will be approximately normally distributed.What characteristic of the mean explains this?

A researcher increases the sample size,which will:

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 36, = 12, = 9 Researcher B: n = 36, = 12, = 6

A researcher wants to select a sample of 30 participants from one of two populations.In Population A,the standard deviation is 12.In Population B,the standard deviation is 4.In this example,selecting a sample from Population A will produce the smallest standard error.

A researcher selects a sample of 9 participants from a population with a mean of 8 and a standard deviation of 3.About 14% of the sample means in this sampling distribution should be between a sample mean of

A sampling distribution is a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population.

What is the central limit theorem?

A sampling distribution of the sample mean or variance is

A researcher selects from a participant pool of 4 males and 6 females.He determines that the probability of selecting 2 male participants is p = .16.Based on this probability,what strategy did the researcher use to sample participants.

The central limit theorem states that the sample mean will equal the population mean on average.

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

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

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

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 7: Hypothesis Testing: Significance, Effect Size, and Power

The sample mean is an unbiased estimator of the population mean.

A researcher selects from a participant pool of 4 males and 6 females.He determines that the probability of selecting 2 female participants is p = .30.Based on this probability,what strategy did the researcher use to sample participants.

Each of the following statements are true,except that

If a researcher selects a sample with a mean of 8,then the mean of the sampling distribution of possible sample means will also equal 8.

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 25, = 5, = 7 Researcher B: n = 25, = 32, = 7

A researcher selects a sample of 121 participants from a population with a mean of 32 and a standard deviation of 22.What is the standard error of the mean?

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1.

A researcher randomly selects a sample of athletes and reports that their average score on a health and fitness scale is 23.Based on the characteristics of the sample mean,what does this say about the mean in the population?

Suppose that a researcher selects a sample of participants from a population.If the shape of the distribution in this population is negatively skewed,then what is the shape of the sampling distribution of sample variances?

The sampling distribution of sample variances is approximately normally distributed.

Regardless of the distribution of the population,the sampling distribution of sample means will be approximately normally distributed.What characteristic of the mean explains this?

A researcher increases the sample size,which will:

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 36, = 12, = 9 Researcher B: n = 36, = 12, = 6

A researcher wants to select a sample of 30 participants from one of two populations.In Population A,the standard deviation is 12.In Population B,the standard deviation is 4.In this example,selecting a sample from Population A will produce the smallest standard error.

A researcher selects a sample of 9 participants from a population with a mean of 8 and a standard deviation of 3.About 14% of the sample means in this sampling distribution should be between a sample mean of

A sampling distribution is a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population.

What is the central limit theorem?

A sampling distribution of the sample mean or variance is

A researcher selects from a participant pool of 4 males and 6 females.He determines that the probability of selecting 2 male participants is p = .16.Based on this probability,what strategy did the researcher use to sample participants.

The central limit theorem states that the sample mean will equal the population mean on average.

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

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

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

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