Question 1

The standard error of the mean is typically reported in a table or graph,but never in the text of a research article.

Accepted Answer

A) True 
 B)False  False

Question 2

Which of the following allows researchers to use the standard normal distribution to estimate the probability of selecting sample means?

Accepted Answer

A) the central limit theorem 
B) the skewed distribution rule 
C) the fact that sample means vary minimally from the population mean 
D) the fact that increasing sample size will decrease standard error 
A) the central limit theorem 
B) the skewed distribution rule 
C) the fact that sample means vary minimally from the population mean 
D) the fact that increasing sample size will decrease standard error A

Question 3

A researcher randomly selects a sample of participants from a population with a variance of 4.If a researcher selects a sample of 16 participants with a mean of 12,then what is the mean and standard error for the sampling distribution of the mean?

Accepted Answer

A) mean = 12,standard error = 2 
B) mean = 12,standard error = 1 
C) mean = 12,standard error = 0.5 
D) There is not enough information to answer this question. 
A) mean = 12,standard error = 2 
B) mean = 12,standard error = 1 
C) mean = 12,standard error = 0.5 
D) There is not enough information to answer this question. C

Question 4

The standard error of the mean is the standard deviation in a sampling distribution of sample means.

Accepted Answer

A) True 
 B)False

Question 5

Researchers typically sample with replacement,although the development of statistical theory was based on the use of sampling without replacement.

Accepted Answer

A) True 
 B)False

Question 6

The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)

Accepted Answer

A) are both unbiased estimators 
B) both follow the central limit theorem 
C) are both associated with minimal variance 
D) all of the above 
A) are both unbiased estimators 
B) both follow the central limit theorem 
C) are both associated with minimal variance 
D) all of the above

Question 7

A researcher selects a sample of 16 participants from a population with a variance of 4.What is the standard error of the mean?

Accepted Answer

A) less than 1 
B) equal to 1 
C) greater than 1 
D) There is not enough information to answer this question. 
A) less than 1 
B) equal to 1 
C) greater than 1 
D) There is not enough information to answer this question.

Question 8

The shape of the sampling distribution of the mean is approximately ________,whereas the shape of the sampling distribution of the variance is approximately ________.

Accepted Answer

A) normal;normal 
B) positively skewed;normal 
C) normal;positively skewed 
D) positively skewed;positively skewed 
A) normal;normal 
B) positively skewed;normal 
C) normal;positively skewed 
D) positively skewed;positively skewed

Question 9

The average sample variance equals the population variance when dividing SS by df.

Accepted Answer

A) True 
 B)False

Question 10

As sample size decreases,the standard error also decreases.

Accepted Answer

A) True 
 B)False

Question 11

Which type of sampling is most often applied by researchers in the behavioral sciences?

Accepted Answer

A) theoretical sampling 
B) normal sampling 
C) experimental sampling 
D) standard normal sampling 
A) theoretical sampling 
B) normal sampling 
C) experimental sampling 
D) standard normal sampling

Question 12

A researcher selects a sample of size 4 from a population of size 6.How many possible samples of this size can be selected using experimental sampling?

Accepted Answer

A) 15 
B) 30 
C) 1,296 
D) 4,096 
A) 15 
B) 30 
C) 1,296 
D) 4,096

Question 13

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

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 14

What characteristic of the sample variance do researchers generally consider more important: unbiased estimator or minimum variance?

Accepted Answer

A) minimum variance 
B) unbiased estimator 
C) Neither one;they are equally important. 
A) minimum variance 
B) unbiased estimator 
C) Neither one;they are equally important.

Question 15

A researcher selects a sample of 25 participants from a population with a mean of 10 and a standard deviation of 5.What is the probability of selecting a sample mean equal to at least 12?

Accepted Answer

A) less than 1% 
B) greater than 50% 
C) about the same as selecting a sample mean that is at least equal to the population mean 
D) equal to the probability of selecting a sample mean that is smaller than 8 
A) less than 1% 
B) greater than 50% 
C) about the same as selecting a sample mean that is at least equal to the population mean 
D) equal to the probability of selecting a sample mean that is smaller than 8

Question 16

Because the sampling distribution of sample means is normally distributed,we can use the z transformation formula to find probabilities.Which of the following gives the appropriate notation for this formula?

Accepted Answer

A)    
B)    
C)    
D) all of the above 
A)    
B)    
C)    
D) all of the above

Question 17

An articles states that a sample of 40 participants took 12 ± 2.3 (M ± SEM)seconds to complete a cognitive assessment.Which value is the standard error of the mean?

Accepted Answer

A) 40 
B) 12 
C) 2.3 
D) The standard error of the mean is not reported in the article 
A) 40 
B) 12 
C) 2.3 
D) The standard error of the mean is not reported in the article

Question 18

If a researcher selects a sample of 64 participants from a population with a variance of 16,then the standard error of the mean will be 2.0.

Accepted Answer

A) True 
 B)False

Question 19

The sample variance is an unbiased estimator of the population mean when dividing SS by df.

Accepted Answer

A) True 
 B)False

Question 20

A researcher selects two samples of 25 participants each.In the first sample the population mean was 32 and the variance was 8.In this second sample,the population mean was 4 and the variance was 8.Which sample will be associated with a larger standard error of the mean?

Accepted Answer

A) Sample 1 
B) Sample 2 
C) None,both samples will have the same value for standard error 
D) There is not enough information to answer this question. 
A) Sample 1 
B) Sample 2 
C) None,both samples will have the same value for standard error 
D) There is not enough information to answer this question.

The standard error of the mean is typically reported in a table or graph,but never in the text of a research article.

Which of the following allows researchers to use the standard normal distribution to estimate the probability of selecting sample means?

A researcher randomly selects a sample of participants from a population with a variance of 4.If a researcher selects a sample of 16 participants with a mean of 12,then what is the mean and standard error for the sampling distribution of the mean?

The standard error of the mean is the standard deviation in a sampling distribution of sample means.

Researchers typically sample with replacement,although the development of statistical theory was based on the use of sampling without replacement.

The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)

A researcher selects a sample of 16 participants from a population with a variance of 4.What is the standard error of the mean?

The shape of the sampling distribution of the mean is approximately ,whereas the shape of the sampling distribution of the variance is approximately .

The average sample variance equals the population variance when dividing SS by df.

As sample size decreases,the standard error also decreases.

Which type of sampling is most often applied by researchers in the behavioral sciences?

A researcher selects a sample of size 4 from a population of size 6.How many possible samples of this size can be selected using experimental sampling?

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

What characteristic of the sample variance do researchers generally consider more important: unbiased estimator or minimum variance?

A researcher selects a sample of 25 participants from a population with a mean of 10 and a standard deviation of 5.What is the probability of selecting a sample mean equal to at least 12?

Because the sampling distribution of sample means is normally distributed,we can use the z transformation formula to find probabilities.Which of the following gives the appropriate notation for this formula?

An articles states that a sample of 40 participants took 12 ± 2.3 (M ± SEM)seconds to complete a cognitive assessment.Which value is the standard error of the mean?

If a researcher selects a sample of 64 participants from a population with a variance of 16,then the standard error of the mean will be 2.0.

The sample variance is an unbiased estimator of the population mean when dividing SS by df.

A researcher selects two samples of 25 participants each.In the first sample the population mean was 32 and the variance was 8.In this second sample,the population mean was 4 and the variance was 8.Which sample will be associated with a larger standard error of the mean?

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 standard error of the mean is typically reported in a table or graph,but never in the text of a research article.

Which of the following allows researchers to use the standard normal distribution to estimate the probability of selecting sample means?

A researcher randomly selects a sample of participants from a population with a variance of 4.If a researcher selects a sample of 16 participants with a mean of 12,then what is the mean and standard error for the sampling distribution of the mean?

The standard error of the mean is the standard deviation in a sampling distribution of sample means.

Researchers typically sample with replacement,although the development of statistical theory was based on the use of sampling without replacement.

The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)

A researcher selects a sample of 16 participants from a population with a variance of 4.What is the standard error of the mean?

The shape of the sampling distribution of the mean is approximately ________,whereas the shape of the sampling distribution of the variance is approximately ________.

The average sample variance equals the population variance when dividing SS by df.

As sample size decreases,the standard error also decreases.

Which type of sampling is most often applied by researchers in the behavioral sciences?

A researcher selects a sample of size 4 from a population of size 6.How many possible samples of this size can be selected using experimental sampling?

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

What characteristic of the sample variance do researchers generally consider more important: unbiased estimator or minimum variance?

A researcher selects a sample of 25 participants from a population with a mean of 10 and a standard deviation of 5.What is the probability of selecting a sample mean equal to at least 12?

Because the sampling distribution of sample means is normally distributed,we can use the z transformation formula to find probabilities.Which of the following gives the appropriate notation for this formula?

An articles states that a sample of 40 participants took 12 ± 2.3 (M ± SEM)seconds to complete a cognitive assessment.Which value is the standard error of the mean?

If a researcher selects a sample of 64 participants from a population with a variance of 16,then the standard error of the mean will be 2.0.

The sample variance is an unbiased estimator of the population mean when dividing SS by df.

A researcher selects two samples of 25 participants each.In the first sample the population mean was 32 and the variance was 8.In this second sample,the population mean was 4 and the variance was 8.Which sample will be associated with a larger standard error of the mean?

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

The shape of the sampling distribution of the mean is approximately ,whereas the shape of the sampling distribution of the variance is approximately .