Question 1

It happens to be the case that the standard error of the sampling distribution of sample means

Accepted Answer

A)  is minimal. 
B)  is approximately equal to that in the population. 
C)  gets larger as the sample size increases. 
D)  is minimal and gets larger as the sample size increases. 
A)  is minimal. 
B)  is approximately equal to that in the population. 
C)  gets larger as the sample size increases. 
D)  is minimal and gets larger as the sample size increases.

Question 2

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 3

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 4

Experimental research is typically conducted using a sampling strategy in which

Accepted Answer

A)  the order of selecting participants matters. 
B)  the same participant can never be selected twice in the same sample. 
C)  participants are replaced after being sampled. 
D)  all of these. 
A)  the order of selecting participants matters. 
B)  the same participant can never be selected twice in the same sample. 
C)  participants are replaced after being sampled. 
D)  all of these.

Question 5

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 6

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 at most equal to 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 at most equal to 8

Question 7

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 8

We can find the probability of obtaining a sample mean from a population using the standard normal distribution.

Accepted Answer

A) True 
 B)False

Question 9

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 that is at least two standard deviations larger than the population mean?

Accepted Answer

A)  .0228 
B)  .4772 
C)  .9772 
D)  equal to the probability of selecting a sample mean that is at least two standard deviations below the mean 
A)  .0228 
B)  .4772 
C)  .9772 
D)  equal to the probability of selecting a sample mean that is at least two standard deviations below the mean

Question 10

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 11

As sample size decreases,the standard error also decreases.

Accepted Answer

A) True 
 B)False

Question 12

The sample mean is an unbiased estimator,follows the central limit theorem,and has minimum variance.

Accepted Answer

A) True 
 B)False

Question 13

There are 25 possible samples of size 5 that can be selected from a population of 2 people using theoretical sampling.

Accepted Answer

A) True 
 B)False

Question 14

The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population.

Accepted Answer

A) True 
 B)False

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

Accepted Answer

A)  normal distribution. 
B)  positively skewed distribution. 
C)  negatively skewed distribution. 
D)  multimodal distribution. 
A)  normal distribution. 
B)  positively skewed distribution. 
C)  negatively skewed distribution. 
D)  multimodal distribution.

Question 17

Two researchers select a sample from a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

Accepted Answer

A)  Researcher A's, because the sample size was smaller. 
B)  Researcher B's, because the sample size was smaller. 
C)  Researcher A's, because the sample size was larger. 
D)  Researcher B's, because the sample size was larger. 
A)  Researcher A's, because the sample size was smaller. 
B)  Researcher B's, because the sample size was smaller. 
C)  Researcher A's, because the sample size was larger. 
D)  Researcher B's, because the sample size was larger.

Question 18

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

Question 19

The sampling distribution of sample variances is approximately normally distributed.

Accepted Answer

A) True 
 B)False

Question 20

What values are distributed along the x-axis for a sampling distribution of the sample mean?

Accepted Answer

A)  scores 
B)  sample means 
C)  sample variances 
D)  sample means and sample variances 
A)  scores 
B)  sample means 
C)  sample variances 
D)  sample means and sample variances

It happens to be the case that the standard error of the sampling distribution of sample means

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?

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

Experimental research is typically conducted using a sampling strategy in which

A researcher increases the sample size,which will:

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?

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?

We can find the probability of obtaining a sample mean from a population using the standard normal distribution.

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 that is at least two standard deviations larger than the population mean?

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?

As sample size decreases,the standard error also decreases.

The sample mean is an unbiased estimator,follows the central limit theorem,and has minimum variance.

There are 25 possible samples of size 5 that can be selected from a population of 2 people using theoretical sampling.

The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population.

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

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

Two researchers select a sample from a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

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?

The sampling distribution of sample variances is approximately normally distributed.

What values are distributed along the x-axis for a sampling distribution of the sample mean?

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, normal Distributions, and Z Scores

Hypothesis Testing: Significance,effect Size,and Power

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 7: Probability and Sampling Distributions

It happens to be the case that the standard error of the sampling distribution of sample means

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?

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

Experimental research is typically conducted using a sampling strategy in which

A researcher increases the sample size,which will:

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?

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?

We can find the probability of obtaining a sample mean from a population using the standard normal distribution.

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 that is at least two standard deviations larger than the population mean?

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?

As sample size decreases,the standard error also decreases.

The sample mean is an unbiased estimator,follows the central limit theorem,and has minimum variance.

There are 25 possible samples of size 5 that can be selected from a population of 2 people using theoretical sampling.

The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population.

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

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

Two researchers select a sample from a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

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?

The sampling distribution of sample variances is approximately normally distributed.

What values are distributed along the x-axis for a sampling distribution of the sample mean?

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, normal Distributions, and Z Scores

Hypothesis Testing: Significance,effect Size,and Power

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters