Question 1

The sampling distribution of sample variances is approximately normally distributed.

Accepted Answer

A) True 
 B)False

Question 2

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean?
Researcher A: n = 18,   = 8,   = 2.4
Researcher B: n = 12,   = 8,   = 2.4

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 3

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 4

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.

Question 5

For the experimental sampling strategy,the order in which a participant is selected does not matter,and once selected,each participant is not replaced before sampling again.

Accepted Answer

A) True 
 B)False

Question 6

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 7

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 8

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

Question 9

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

Accepted Answer

A) a conditional procedure 
B) a sampling distribution 
C) sampling without replacement 
D) random sampling 
A) a conditional procedure 
B) a sampling distribution 
C) sampling without replacement 
D) random sampling

Question 10

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

Accepted Answer

A) equal to the probability of selecting a score above the mean 
B) about one standard deviation below the mean 
C) less than .03 
D) greater than .31 
A) equal to the probability of selecting a score above the mean 
B) about one standard deviation below the mean 
C) less than .03 
D) greater than .31

Question 11

If data are reported as 12 ± 20 (M ± SEM),then the standard error of the mean is equal to 20.

Accepted Answer

A) True 
 B)False

Question 12

A researcher selects a sample of 64 participants from a population with a mean of 10 and a variance of 16.What is the standard error of the mean?

Accepted Answer

A) 10 
B) 2.0 
C) 0.5 
D) There is not enough information to answer this question. 
A) 10 
B) 2.0 
C) 0.5 
D) There is not enough information to answer this question.

Question 13

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM)dollars on groceries each week.Which value is the standard error of the mean?

Accepted Answer

A) 112 
B) 40 
C) 100 
D) The standard error of the mean is not reported in the article 
A) 112 
B) 40 
C) 100 
D) The standard error of the mean is not reported in the article

Question 14

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 15

The sample variance is an unbiased estimator of the population variance

Accepted Answer

A) when dividing SS by n 
B) when dividing SS by df 
C) when dividing SS by n ñ 1 
D) both B and C 
A) when dividing SS by n 
B) when dividing SS by df 
C) when dividing SS by n ñ 1 
D) both B and C

Question 16

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

Accepted Answer

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

Question 17

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 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 mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

Accepted Answer

A) True 
 B)False

Question 20

A sample mean is not always equal to a population mean.

Accepted Answer

A) True 
 B)False

The sampling distribution of sample variances is approximately normally distributed.

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 18, = 8, = 2.4 Researcher B: n = 12, = 8, = 2.4

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 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?

For the experimental sampling strategy,the order in which a participant is selected does not matter,and once selected,each participant is not replaced before sampling again.

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 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.

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

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

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

If data are reported as 12 ± 20 (M ± SEM),then the standard error of the mean is equal to 20.

A researcher selects a sample of 64 participants from a population with a mean of 10 and a variance of 16.What is the standard error of the mean?

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM)dollars on groceries each week.Which value is the standard error of the mean?

A sampling distribution of the sample mean or variance is

The sample variance is an unbiased estimator of the population variance

What values are distributed along the x-axis for a sampling distribution of the sample 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 that is at least two standard deviations larger than the population 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 mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

A sample mean is not always equal to a population 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: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

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

The sampling distribution of sample variances is approximately normally distributed.

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 18, = 8, = 2.4 Researcher B: n = 12, = 8, = 2.4

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 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?

For the experimental sampling strategy,the order in which a participant is selected does not matter,and once selected,each participant is not replaced before sampling again.

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 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.

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

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

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

If data are reported as 12 ± 20 (M ± SEM),then the standard error of the mean is equal to 20.

A researcher selects a sample of 64 participants from a population with a mean of 10 and a variance of 16.What is the standard error of the mean?

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM)dollars on groceries each week.Which value is the standard error of the mean?

A sampling distribution of the sample mean or variance is

The sample variance is an unbiased estimator of the population variance

What values are distributed along the x-axis for a sampling distribution of the sample 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 that is at least two standard deviations larger than the population 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 mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

A sample mean is not always equal to a population 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: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

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