Question 1

The proportion in the body of a normal distribution can never be less than 0.50.

Accepted Answer

A) True 
 B)False

Question 2

A normal distribution has a mean of µ = 24 with σ = 3.What is the minimum score needed to be in the top 14% of the distribution?

Accepted Answer

A) X = 24.42 
B) X = 25.08 
C) X = 27.24 
D) X = 20.76 
A) X = 24.42 
B) X = 25.08 
C) X = 27.24 
D) X = 20.76

Question 3

What proportion of a normal distribution is located in the tail beyond z = -1.00?

Accepted Answer

A) 0.8413 
B) 0.1587 
C) -0.3413 
D) -0.1587 
A) 0.8413 
B) 0.1587 
C) -0.3413 
D) -0.1587

Question 4

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 100 and X = 130?

Accepted Answer

A) 0.9332 
B) 0.0668 
C) 0.4332 
D) 0.8664 
A) 0.9332 
B) 0.0668 
C) 0.4332 
D) 0.8664

Question 5

A normal distribution has a mean of µ = 70 with σ = 10.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 82?

Accepted Answer

A) 0.7698 
B) 0.3849 
C) 0.1151 
D) 0.8849 
A) 0.7698 
B) 0.3849 
C) 0.1151 
D) 0.8849

Question 6

A vertical line is drawn through a normal distribution at z = 1.20.What proportion of the distribution is on the left-hand side of the line?

Accepted Answer

A) 0.8849 
B) 0.1151 
C) 0.3849 
D) 0.7698 
A) 0.8849 
B) 0.1151 
C) 0.3849 
D) 0.7698

Question 7

For a normal distribution with µ = 50 and σ = 10,the line separating the highest 10% of the scores from the rest is located at X = 51.28.

Accepted Answer

A) True 
 B)False

Question 8

A normal distribution has μ = 80 and σ = 10.What is the probability of randomly selecting a score greater than 90 from this distribution?

Accepted Answer

A) 0.8413 
B) 0.1587 
C) 0.3085 
D) 0.6915 
A) 0.8413 
B) 0.1587 
C) 0.3085 
D) 0.6915

Question 9

What z-score value separates the highest 70% of the scores in a normal distribution from the lowest 30%?

Accepted Answer

A) z = 0.52 
B) z = 0.84 
C) z = -0.52 
D) z = -0.84 
A) z = 0.52 
B) z = 0.84 
C) z = -0.52 
D) z = -0.84

Question 10

What is the probability of randomly selecting a z-score less than z = -1.25 from a normal distribution?

Accepted Answer

A) 0.8944 
B) 0.1056 
C) 0.3944 
D) 0.2112 
A) 0.8944 
B) 0.1056 
C) 0.3944 
D) 0.2112

Question 11

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score greater than X = 110 is p = 0.6915.

Accepted Answer

A) True 
 B)False

Question 12

All probabilities can be expressed as decimal values ranging from 0 to 1.00.

Accepted Answer

A) True 
 B)False

Question 13

What proportion of a normal distribution is located between the mean and z = -1.40?

Accepted Answer

A) 0.0808 
B) 0.4192 
C) -0.0808 
D) -0.4192 
A) 0.0808 
B) 0.4192 
C) -0.0808 
D) -0.4192

Question 14

A vertical line drawn through a normal distribution at z = -1.00 separates the distribution into two sections,the body and the tail.What proportion of the distribution is in the body?

Accepted Answer

A) 0.8413 
B) 0.1587 
C) 0.3413 
D) -0.1587 
A) 0.8413 
B) 0.1587 
C) 0.3413 
D) -0.1587

Question 15

John drives to work each morning,and the trip takes an average of µ = 38 minutes.The distribution of driving times is approximately normal with a standard deviation of σ = 5 minutes.For a randomly selected morning,what is the probability that John's drive to work will take less than 35 minutes?

Accepted Answer

A) 0.6554 
B) 0.3446 
C) 0.7257 
D) 0.2743 
A) 0.6554 
B) 0.3446 
C) 0.7257 
D) 0.2743

Question 16

A vertical line is drawn through a normal distribution so that the proportion in the tail is 0.1841.The line was drawn at z = 0.90 or at z = -0.90.

Accepted Answer

A) True 
 B)False

Question 17

Which of the following accurately describes the proportions in the body of a normal distribution?

Accepted Answer

A) Body proportions on the right side of the z-score are greater than 0.50; on the left side, they are less than 0.50. 
B) Body proportions on the right side of the z-score are less than 0.50; on the left side, they are greater than 0.50. 
C) Body proportions on either side of the z-score are less than 0.50. 
D) Body proportions on either side of the z-score are greater than 0.50. 
A) Body proportions on the right side of the z-score are greater than 0.50; on the left side, they are less than 0.50. 
B) Body proportions on the right side of the z-score are less than 0.50; on the left side, they are greater than 0.50. 
C) Body proportions on either side of the z-score are less than 0.50. 
D) Body proportions on either side of the z-score are greater than 0.50.

Question 18

A normal distribution has μ = 20 and σ = 4.What is the probability of randomly selecting a score greater than 25 from this distribution?

Accepted Answer

A) 0.3944 
B) 0.1056 
C) 0.8944 
D) 0.7888 
A) 0.3944 
B) 0.1056 
C) 0.8944 
D) 0.7888

Question 19

A normal distribution has a mean of µ = 60 with σ = 8.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 54?

Accepted Answer

A) 0.7734 
B) 0.2266 
C) 0.2734 
D) 0.3085 
A) 0.7734 
B) 0.2266 
C) 0.2734 
D) 0.3085

Question 20

A vertical line drawn through a normal distribution at z = 0.50 separates the distribution into two sections,the body and the tail.What proportion of the distribution is in the body?

Accepted Answer

A) 0.6915 
B) 0.3085 
C) 0.1915 
D) 0.3830 
A) 0.6915 
B) 0.3085 
C) 0.1915 
D) 0.3830

The proportion in the body of a normal distribution can never be less than 0.50.

A normal distribution has a mean of µ = 24 with σ = 3.What is the minimum score needed to be in the top 14% of the distribution?

What proportion of a normal distribution is located in the tail beyond z = -1.00?

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 100 and X = 130?

A normal distribution has a mean of µ = 70 with σ = 10.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 82?

A vertical line is drawn through a normal distribution at z = 1.20.What proportion of the distribution is on the left-hand side of the line?

For a normal distribution with µ = 50 and σ = 10,the line separating the highest 10% of the scores from the rest is located at X = 51.28.

A normal distribution has μ = 80 and σ = 10.What is the probability of randomly selecting a score greater than 90 from this distribution?

What z-score value separates the highest 70% of the scores in a normal distribution from the lowest 30%?

What is the probability of randomly selecting a z-score less than z = -1.25 from a normal distribution?

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score greater than X = 110 is p = 0.6915.

All probabilities can be expressed as decimal values ranging from 0 to 1.00.

What proportion of a normal distribution is located between the mean and z = -1.40?

A vertical line drawn through a normal distribution at z = -1.00 separates the distribution into two sections,the body and the tail.What proportion of the distribution is in the body?

John drives to work each morning,and the trip takes an average of µ = 38 minutes.The distribution of driving times is approximately normal with a standard deviation of σ = 5 minutes.For a randomly selected morning,what is the probability that John's drive to work will take less than 35 minutes?

A vertical line is drawn through a normal distribution so that the proportion in the tail is 0.1841.The line was drawn at z = 0.90 or at z = -0.90.

Which of the following accurately describes the proportions in the body of a normal distribution?

A normal distribution has μ = 20 and σ = 4.What is the probability of randomly selecting a score greater than 25 from this distribution?

A normal distribution has a mean of µ = 60 with σ = 8.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 54?

A vertical line drawn through a normal distribution at z = 0.50 separates the distribution into two sections,the body and the tail.What proportion of the distribution is in the body?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability and Samples: The Distribution of Sample Means.

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 Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

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Exam 6: Probability.

The proportion in the body of a normal distribution can never be less than 0.50.

A normal distribution has a mean of µ = 24 with σ = 3.What is the minimum score needed to be in the top 14% of the distribution?

What proportion of a normal distribution is located in the tail beyond z = -1.00?

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 100 and X = 130?

A normal distribution has a mean of µ = 70 with σ = 10.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 82?

A vertical line is drawn through a normal distribution at z = 1.20.What proportion of the distribution is on the left-hand side of the line?

For a normal distribution with µ = 50 and σ = 10,the line separating the highest 10% of the scores from the rest is located at X = 51.28.

A normal distribution has μ = 80 and σ = 10.What is the probability of randomly selecting a score greater than 90 from this distribution?

What z-score value separates the highest 70% of the scores in a normal distribution from the lowest 30%?

What is the probability of randomly selecting a z-score less than z = -1.25 from a normal distribution?

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score greater than X = 110 is p = 0.6915.

All probabilities can be expressed as decimal values ranging from 0 to 1.00.

What proportion of a normal distribution is located between the mean and z = -1.40?

A vertical line drawn through a normal distribution at z = -1.00 separates the distribution into two sections,the body and the tail.What proportion of the distribution is in the body?

John drives to work each morning,and the trip takes an average of µ = 38 minutes.The distribution of driving times is approximately normal with a standard deviation of σ = 5 minutes.For a randomly selected morning,what is the probability that John's drive to work will take less than 35 minutes?

A vertical line is drawn through a normal distribution so that the proportion in the tail is 0.1841.The line was drawn at z = 0.90 or at z = -0.90.

Which of the following accurately describes the proportions in the body of a normal distribution?

A normal distribution has μ = 20 and σ = 4.What is the probability of randomly selecting a score greater than 25 from this distribution?

A normal distribution has a mean of µ = 60 with σ = 8.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 54?

A vertical line drawn through a normal distribution at z = 0.50 separates the distribution into two sections,the body and the tail.What proportion of the distribution is in the body?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability and Samples: The Distribution of Sample Means.

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 Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters