Question 1

If the sample size is equal to the standard deviation (n = $\sigma$), then the standard error is equal to the square root of n.

Accepted Answer

A) True 
 B)False

Question 2

In order for the distribution of sample means to be normal, it must be based on samples of at least n = 30 scores.
43 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 expected value for the sample mean is 80.

Accepted Answer

A) True 
 B)False

Question 3

A random sample of n = 16 scores is obtained from a normal population with µ = 40 and σ = 8.What is the probability that the sample mean will be within 2 points of the population mean?

Accepted Answer

A) 0.3830 
B) 0.6826 
C) 0.8664 
D) 0.9544 
A) 0.3830 
B) 0.6826 
C) 0.8664 
D) 0.9544

Question 4

A sample of n = 16 scores is selected from a population with μ = 80 with σ = 20.On average, how much error would be expected between the sample mean and the population mean?

Accepted Answer

A) 20 points 
B) 5 points 
C) 4 points 
D) 1.25 points 
A) 20 points 
B) 5 points 
C) 4 points 
D) 1.25 points

Question 5

If samples of size n = 16 are selected from a population with μ = 40 and σ = 8, the distribution of sample means will have a standard error of 2 points.

Accepted Answer

A) True 
 B)False

Question 6

As the sample size increase, the standard error also increases.

Accepted Answer

A) True 
 B)False

Question 7

What term is used to identify the standard deviation of the distribution of sample means?

Accepted Answer

A) the expected value of M 
B) the standard error of M 
C) the sample mean 
D) the central limit mean 
A) the expected value of M 
B) the standard error of M 
C) the sample mean 
D) the central limit mean

Question 8

As the population standard deviation increases, the standard error will also increase.

Accepted Answer

A) True 
 B)False

Question 9

A sample of n = 16 scores is selected from a population with μ = 70 and σ = 8.It is very unlikely that the sample mean will be greater than 78.

Accepted Answer

A) True 
 B)False

If the sample size is equal to the standard deviation (n = $\sigma$ ), then the standard error is equal to the square root of n.

In order for the distribution of sample means to be normal, it must be based on samples of at least n = 30 scores. 43 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 expected value for the sample mean is 80.

A random sample of n = 16 scores is obtained from a normal population with µ = 40 and σ = 8.What is the probability that the sample mean will be within 2 points of the population mean?

A sample of n = 16 scores is selected from a population with μ = 80 with σ = 20.On average, how much error would be expected between the sample mean and the population mean?

If samples of size n = 16 are selected from a population with μ = 40 and σ = 8, the distribution of sample means will have a standard error of 2 points.

As the sample size increase, the standard error also increases.

What term is used to identify the standard deviation of the distribution of sample means?

As the population standard deviation increases, the standard error will also increase.

A sample of n = 16 scores is selected from a population with μ = 70 and σ = 8.It is very unlikely that the sample mean will be greater than 78.

Introduction to Statistics

Frequency Distributions

Central Tendency

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 Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

Exam 7: The Distribution of Sample Means

If the sample size is equal to the standard deviation (n = σ\sigmaσ ), then the standard error is equal to the square root of n.

In order for the distribution of sample means to be normal, it must be based on samples of at least n = 30 scores. 43 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 expected value for the sample mean is 80.

A random sample of n = 16 scores is obtained from a normal population with µ = 40 and σ = 8.What is the probability that the sample mean will be within 2 points of the population mean?

A sample of n = 16 scores is selected from a population with μ = 80 with σ = 20.On average, how much error would be expected between the sample mean and the population mean?

If samples of size n = 16 are selected from a population with μ = 40 and σ = 8, the distribution of sample means will have a standard error of 2 points.

As the sample size increase, the standard error also increases.

What term is used to identify the standard deviation of the distribution of sample means?

As the population standard deviation increases, the standard error will also increase.

A sample of n = 16 scores is selected from a population with μ = 70 and σ = 8.It is very unlikely that the sample mean will be greater than 78.

Introduction to Statistics

Frequency Distributions

Central Tendency

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 Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

If the sample size is equal to the standard deviation (n = $\sigma$ ), then the standard error is equal to the square root of n.