Question 1

A sample of n = 25 scores is selected from a population with a mean of µ = 80 and a standard deviation of σ = 20.The standard error for the sample mean is 20.

Accepted Answer

A) True 
 B)False  False

Question 2

The mean for the distribution of sample means is always equal to the mean for the population from which the samples are obtained.

Accepted Answer

A) True 
 B)False  True

Question 3

If the sample size is equal to the population standard deviation (n = ),then the standard error for the sample mean is equal to 1.00.

Accepted Answer

A) True 
 B)False  False

Question 4

A sample of n = 4 scores is selected from a population with μ = 40 with σ = 8,and the sample mean is M = 43.What is the expected value for the sample mean?

Accepted Answer

A) 40 
B) 10 
C) 8 
D) 2 
A) 40 
B) 10 
C) 8 
D) 2

Question 5

For a particular population,a sample of n = 4 scores has a standard error of 6.For the same population,a sample of n = 16 scores would have a standard error of _____.

Accepted Answer

A) 8 
B) 6 
C) 3 
D) 2 
A) 8 
B) 6 
C) 3 
D) 2

Question 6

A sample is obtained from a population with μ = 100 and σ = 20.Which of the following samples would produce the most extreme z-score?

Accepted Answer

A) A sample of n = 25 scores with M = 102 
B) A sample of n = 100 scores with M = 102 
C) A sample of n = 25 scores with M = 104 
D) A sample of n = 100 scores with M = 104 
A) A sample of n = 25 scores with M = 102 
B) A sample of n = 100 scores with M = 102 
C) A sample of n = 25 scores with M = 104 
D) A sample of n = 100 scores with M = 104

Question 7

A sample is selected from a population with a mean of  = 40.If the sample mean is M = 45,which of the following combinations would make the sample mean an extreme,unrepresentative value for the population?

Accepted Answer

A) A small sample and a small population standard deviation 
B) A small sample and a large population standard deviation 
C) A large sample and a small population standard deviation 
D) A large sample and a large population standard deviation 
A) A small sample and a small population standard deviation 
B) A small sample and a large population standard deviation 
C) A large sample and a small population standard deviation 
D) A large sample and a large population standard deviation

Question 8

A sample of n = 4 scores is selected from a population with μ = 40 with σ = 8,and the sample mean is M = 43.What is the standard error for the sample mean?

Accepted Answer

A) 8 
B) 4 
C) 3 
D) 2 
A) 8 
B) 4 
C) 3 
D) 2

Question 9

What is the standard error of M?

Accepted Answer

A) It is the sample mean. 
B) It is the sample standard deviation. 
C) It is the mean of the distribution of sample means. 
D) It is the standard deviation of the distribution of sample means. 
A) It is the sample mean. 
B) It is the sample standard deviation. 
C) It is the mean of the distribution of sample means. 
D) It is the standard deviation of the distribution of sample means.

Question 10

A random sample of n = 9 scores is obtained from a normal population with µ = 40 and σ = 18.What is the probability that the sample mean will be greater than M = 43?

Accepted Answer

A) 0.4325 
B) 0.3085 
C) 0.1587 
D) 0.0228 
A) 0.4325 
B) 0.3085 
C) 0.1587 
D) 0.0228

Question 11

If samples are selected from a normal population,the distribution of sample means will also be normal.

Accepted Answer

A) True 
 B)False

Question 12

A sample of n = 25 scores is selected from a population with μ = 50 and σ = 10.The probability of obtaining a sample mean greater than 55 is p = 0.3085.

Accepted Answer

A) True 
 B)False

Question 13

Samples of n = 16 are selected from a population.If the distribution of sample means has a standard error of 2 points,then the population has a standard deviation of σ = 8.

Accepted Answer

A) True 
 B)False

Question 14

A sample from a population with μ = 40 and σ = 8 has a mean of M = 36.If the sample mean corresponds to a z = -1.00,then how many scores are in the sample?

Accepted Answer

A) n = 64 
B) n = 16 
C) n = 8 
D) n = 4 
A) n = 64 
B) n = 16 
C) n = 8 
D) n = 4

Question 15

A sample of n = 25 scores is selected from a population with μ = 70 and σ = 20.It is very unlikely that the sample mean will be greater than 72.

Accepted Answer

A) True 
 B)False

Question 16

Samples of size n = 9 are selected from a population with μ = 80 with σ = 18.What is the standard error for the distribution of sample means?

Accepted Answer

A) 80 
B) 18 
C) 6 
D) 2 
A) 80 
B) 18 
C) 6 
D) 2

Question 17

A sample obtained from a population with σ = 12 has a standard error of 2 points.How many scores are in the sample?

Accepted Answer

A) n = 36 
B) n = 24 
C) n = 6 
D) n = 3 
A) n = 36 
B) n = 24 
C) n = 6 
D) n = 3

Question 18

Two samples probably will have different means even if they are both the same size and they are both selected from the same population.

Accepted Answer

A) True 
 B)False

Question 19

On average,a sample of n = 16 scores will provide a better estimate of the population mean than you would get with a sample of n = 9 scores from the same population.

Accepted Answer

A) True 
 B)False

Question 20

A sample is selected from a population with µ = 30 and σ = 10.If the sample mean of M = 34 corresponds to z = +2.00,then the sample size is n = 25.

Accepted Answer

A) True 
 B)False

A sample of n = 25 scores is selected from a population with a mean of µ = 80 and a standard deviation of σ = 20.The standard error for the sample mean is 20.

The mean for the distribution of sample means is always equal to the mean for the population from which the samples are obtained.

If the sample size is equal to the population standard deviation (n = ),then the standard error for the sample mean is equal to 1.00.

A sample of n = 4 scores is selected from a population with μ = 40 with σ = 8,and the sample mean is M = 43.What is the expected value for the sample mean?

For a particular population,a sample of n = 4 scores has a standard error of 6.For the same population,a sample of n = 16 scores would have a standard error of _____.

A sample is obtained from a population with μ = 100 and σ = 20.Which of the following samples would produce the most extreme z-score?

A sample is selected from a population with a mean of  = 40.If the sample mean is M = 45,which of the following combinations would make the sample mean an extreme,unrepresentative value for the population?

A sample of n = 4 scores is selected from a population with μ = 40 with σ = 8,and the sample mean is M = 43.What is the standard error for the sample mean?

What is the standard error of M?

A random sample of n = 9 scores is obtained from a normal population with µ = 40 and σ = 18.What is the probability that the sample mean will be greater than M = 43?

If samples are selected from a normal population,the distribution of sample means will also be normal.

A sample of n = 25 scores is selected from a population with μ = 50 and σ = 10.The probability of obtaining a sample mean greater than 55 is p = 0.3085.

Samples of n = 16 are selected from a population.If the distribution of sample means has a standard error of 2 points,then the population has a standard deviation of σ = 8.

A sample from a population with μ = 40 and σ = 8 has a mean of M = 36.If the sample mean corresponds to a z = -1.00,then how many scores are in the sample?

A sample of n = 25 scores is selected from a population with μ = 70 and σ = 20.It is very unlikely that the sample mean will be greater than 72.

Samples of size n = 9 are selected from a population with μ = 80 with σ = 18.What is the standard error for the distribution of sample means?

A sample obtained from a population with σ = 12 has a standard error of 2 points.How many scores are in the sample?

Two samples probably will have different means even if they are both the same size and they are both selected from the same population.

On average,a sample of n = 16 scores will provide a better estimate of the population mean than you would get with a sample of n = 9 scores from the same population.

A sample is selected from a population with µ = 30 and σ = 10.If the sample mean of M = 34 corresponds to z = +2.00,then the sample size is n = 25.

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

Exam 7: Probability and Samples:

A sample of n = 25 scores is selected from a population with a mean of µ = 80 and a standard deviation of σ = 20.The standard error for the sample mean is 20.

The mean for the distribution of sample means is always equal to the mean for the population from which the samples are obtained.

If the sample size is equal to the population standard deviation (n = ),then the standard error for the sample mean is equal to 1.00.

A sample of n = 4 scores is selected from a population with μ = 40 with σ = 8,and the sample mean is M = 43.What is the expected value for the sample mean?

For a particular population,a sample of n = 4 scores has a standard error of 6.For the same population,a sample of n = 16 scores would have a standard error of _____.

A sample is obtained from a population with μ = 100 and σ = 20.Which of the following samples would produce the most extreme z-score?

A sample is selected from a population with a mean of  = 40.If the sample mean is M = 45,which of the following combinations would make the sample mean an extreme,unrepresentative value for the population?

A sample of n = 4 scores is selected from a population with μ = 40 with σ = 8,and the sample mean is M = 43.What is the standard error for the sample mean?

What is the standard error of M?

A random sample of n = 9 scores is obtained from a normal population with µ = 40 and σ = 18.What is the probability that the sample mean will be greater than M = 43?

If samples are selected from a normal population,the distribution of sample means will also be normal.

A sample of n = 25 scores is selected from a population with μ = 50 and σ = 10.The probability of obtaining a sample mean greater than 55 is p = 0.3085.

Samples of n = 16 are selected from a population.If the distribution of sample means has a standard error of 2 points,then the population has a standard deviation of σ = 8.

A sample from a population with μ = 40 and σ = 8 has a mean of M = 36.If the sample mean corresponds to a z = -1.00,then how many scores are in the sample?

A sample of n = 25 scores is selected from a population with μ = 70 and σ = 20.It is very unlikely that the sample mean will be greater than 72.

Samples of size n = 9 are selected from a population with μ = 80 with σ = 18.What is the standard error for the distribution of sample means?

A sample obtained from a population with σ = 12 has a standard error of 2 points.How many scores are in the sample?

Two samples probably will have different means even if they are both the same size and they are both selected from the same population.

On average,a sample of n = 16 scores will provide a better estimate of the population mean than you would get with a sample of n = 9 scores from the same population.

A sample is selected from a population with µ = 30 and σ = 10.If the sample mean of M = 34 corresponds to z = +2.00,then the sample size is n = 25.

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters