Question 1

A score from a normal distribution that is equal to the mean would result in a zobs of.

Accepted Answer

A) -1.0 
B) 0.0 
C) +1.0 
D) + or - 1.0 depending on the value of s 
A) -1.0 
B) 0.0 
C) +1.0 
D) + or - 1.0 depending on the value of s

Question 2

In computing zobs, the difference between an individual's score and the population mean is the population standard deviation.

Accepted Answer

A) added to 
B) subtracted from 
C) multiplied by 
D) divided by 
A) added to 
B) subtracted from 
C) multiplied by 
D) divided by

Question 3

A population of scores is normally distributed with a mean of 100 and a standard deviation of 20. Approximately percent of the scores fall in the interval between 100 and 120.

Accepted Answer

A) 14 
B) 34 
C) 68 
D) 84 
A) 14 
B) 34 
C) 68 
D) 84

Question 4

For a normally distributed set of scores with what is the probability of a score being equal to or greater than 200? $$\mu = 200 \text { and } \sigma = 20$$

Accepted Answer

A) .3413 
B) .5000 
C) .6826 
D) .9544 
A) .3413 
B) .5000 
C) .6826 
D) .9544

Question 5

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is equal to or less than 400?

Accepted Answer

A) .1587 
B) .5000 
C) .3413 
D) .8413 
A) .1587 
B) .5000 
C) .3413 
D) .8413

Question 6

A set of normally distributed scores has a mean equal to 75 with a standard deviation equal to 25. If a score equals 25, then zobs for this score is.

Accepted Answer

A) -1.0 
B) -2.0 
C) -3.0 
D) cannot determine without knowing sample size 
A) -1.0 
B) -2.0 
C) -3.0 
D) cannot determine without knowing sample size

Question 7

A set of normally distributed scores has a mean equal to 75 with a standard deviation equal to 25. If a score equals 100, then zobs for this score is.

Accepted Answer

A) +1.0 
B) +2.0 
C) +3.0 
D) cannot determine without knowing sample size 
A) +1.0 
B) +2.0 
C) +3.0 
D) cannot determine without knowing sample size

Question 8

The standard normal distribution is symmetrical about.

Accepted Answer

A) its standard deviation 
B) its variance 
C) the score that corresponds to z = 0.0 
D) the value that corresponds to z = + or -1.0 
A) its standard deviation 
B) its variance 
C) the score that corresponds to z = 0.0 
D) the value that corresponds to z = + or -1.0

Question 9

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 20 and 80?

Accepted Answer

A) .3413 
B) .6826 
C) .9544 
D) .9974 
A) .3413 
B) .6826 
C) .9544 
D) .9974

Question 10

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 60 and 90?

Accepted Answer

A) .1359 
B) .6826 
C) .3413 
D) .9544 
A) .1359 
B) .6826 
C) .3413 
D) .9544

Question 11

In the normal distribution, .3413 of the scores will be located in the interval between the mean and .

Accepted Answer

A)  plus and minus $1 \sigma$ 
B)  plus and minus $2 \sigma$ 
C)  minus $1 \sigma$ 
D)  plus $2 \sigma$ 
A)  plus and minus $1 \sigma$ 
B)  plus and minus $2 \sigma$ 
C)  minus $1 \sigma$ 
D)  plus $2 \sigma$

Question 12

A raw score from a sample may be converted to a standard score by.

Accepted Answer

A)  $z = \frac { X - \mu } { \sigma }$ 
B)  $z = \frac { X - \bar { X } } { S }$ 
C)  $z = \frac { X - \bar { X } } { \sigma }$ 
D)  $z = \frac { X - \bar { X } } { s }$ 
A)  $z = \frac { X - \mu } { \sigma }$ 
B)  $z = \frac { X - \bar { X } } { S }$ 
C)  $z = \frac { X - \bar { X } } { \sigma }$ 
D)  $z = \frac { X - \bar { X } } { s }$

Question 13

Outcomes in a probability distribution that cannot occur at the same time are called outcomes.

Accepted Answer

A) mutually exclusive 
B) incompatible 
C) separate 
D) distinct 
A) mutually exclusive 
B) incompatible 
C) separate 
D) distinct

Question 14

In a normal distribution, .9544 of the scores will be located in the interval between.

Accepted Answer

A)  the mean and plus $2 \sigma$ 
B)  plus $1 \sigma$ and plus $2 \sigma$ 
C)  plus $2 \sigma$ and plus $3 \sigma$ 
D)  the mean minus $2 \sigma$ and the mean plus $2 \sigma$ 
A)  the mean and plus $2 \sigma$ 
B)  plus $1 \sigma$ and plus $2 \sigma$ 
C)  plus $2 \sigma$ and plus $3 \sigma$ 
D)  the mean minus $2 \sigma$ and the mean plus $2 \sigma$

Question 15

Given a normal distribution with a mean of 20 and a standard deviation of 4, which of the following statements is correct?

Accepted Answer

A) More scores are above 20 than below 20. 
B) More scores are above 24 than below 16. 
C) There are more scores of 16 than of 18. 
D) There are as many scores below 16 as there are scores above 24. 
A) More scores are above 20 than below 20. 
B) More scores are above 24 than below 16. 
C) There are more scores of 16 than of 18. 
D) There are as many scores below 16 as there are scores above 24.

Question 16

If A and B represent mutually exclusive outcomes from a probability distribution, then the probability of either A or B occurring is given by.

Accepted Answer

A) p(
A)  × p(
B)  
B) p(
A)  + p(
B)  
C) p(
A)  − p(
B)  
D) p(
A)  ÷ p(
B)  
A) p(
A)  × p(
B)  
B) p(
A)  + p(
B)  
C) p(
A)  − p(
B)  
D) p(
A)  ÷ p(
B)

Question 17

For a z score of +2.0 from a normal distribution with μ = 50 and σ = 10, the original score was.

Accepted Answer

A) 50 
B) 60 
C) 70 
D) cannot be determined from the 
A) 50 
B) 60 
C) 70 
D) cannot be determined from the

Question 18

Which of the following is true of a normal distribution?

Accepted Answer

A) The distribution is symmetrical. 
B) The distribution is asymptotic. 
C) The distribution is continuous. 
D) All the above. 
A) The distribution is symmetrical. 
B) The distribution is asymptotic. 
C) The distribution is continuous. 
D) All the above.

Question 19

You receive a score of 88 on a statistics examination that has a mean of 76 and a sample standard deviation equal to 8. Your standard score on the test is equal to.

Accepted Answer

A) +0.0 
B) +1.5 
C) +1.0 
D) -1.5 
A) +0.0 
B) +1.5 
C) +1.0 
D) -1.5

Question 20

The area under the normal distribution is equal to.

Accepted Answer

A) 1.0 
B) 10 
C) 100 
D) various values, depending on the shape of the distribution 
A) 1.0 
B) 10 
C) 100 
D) various values, depending on the shape of the distribution

A score from a normal distribution that is equal to the mean would result in a zobs of.

In computing zobs, the difference between an individual's score and the population mean is the population standard deviation.

A population of scores is normally distributed with a mean of 100 and a standard deviation of 20. Approximately percent of the scores fall in the interval between 100 and 120.

For a normally distributed set of scores with what is the probability of a score being equal to or greater than 200? $\mu = 200 \text { and } \sigma = 20$

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is equal to or less than 400?

A set of normally distributed scores has a mean equal to 75 with a standard deviation equal to 25. If a score equals 25, then zobs for this score is.

A set of normally distributed scores has a mean equal to 75 with a standard deviation equal to 25. If a score equals 100, then zobs for this score is.

The standard normal distribution is symmetrical about.

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 20 and 80?

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 60 and 90?

In the normal distribution, .3413 of the scores will be located in the interval between the mean and .

A raw score from a sample may be converted to a standard score by.

Outcomes in a probability distribution that cannot occur at the same time are called outcomes.

In a normal distribution, .9544 of the scores will be located in the interval between.

Given a normal distribution with a mean of 20 and a standard deviation of 4, which of the following statements is correct?

If A and B represent mutually exclusive outcomes from a probability distribution, then the probability of either A or B occurring is given by.

For a z score of +2.0 from a normal distribution with μ = 50 and σ = 10, the original score was.

Which of the following is true of a normal distribution?

You receive a score of 88 on a statistics examination that has a mean of 76 and a sample standard deviation equal to 8. Your standard score on the test is equal to.

The area under the normal distribution is equal to.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 6: The Normal Distribution, Probability, and Standard Scores

A score from a normal distribution that is equal to the mean would result in a zobs of.

In computing zobs, the difference between an individual's score and the population mean is the population standard deviation.

A population of scores is normally distributed with a mean of 100 and a standard deviation of 20. Approximately percent of the scores fall in the interval between 100 and 120.

For a normally distributed set of scores with what is the probability of a score being equal to or greater than 200? μ=200 and σ=20\mu = 200 \text { and } \sigma = 20μ=200 and σ=20

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is equal to or less than 400?

A set of normally distributed scores has a mean equal to 75 with a standard deviation equal to 25. If a score equals 25, then zobs for this score is.

A set of normally distributed scores has a mean equal to 75 with a standard deviation equal to 25. If a score equals 100, then zobs for this score is.

The standard normal distribution is symmetrical about.

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 20 and 80?

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 60 and 90?

In the normal distribution, .3413 of the scores will be located in the interval between the mean and .

A raw score from a sample may be converted to a standard score by.

Outcomes in a probability distribution that cannot occur at the same time are called outcomes.

In a normal distribution, .9544 of the scores will be located in the interval between.

Given a normal distribution with a mean of 20 and a standard deviation of 4, which of the following statements is correct?

If A and B represent mutually exclusive outcomes from a probability distribution, then the probability of either A or B occurring is given by.

For a z score of +2.0 from a normal distribution with μ = 50 and σ = 10, the original score was.

Which of the following is true of a normal distribution?

You receive a score of 88 on a statistics examination that has a mean of 76 and a sample standard deviation equal to 8. Your standard score on the test is equal to.

The area under the normal distribution is equal to.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

For a normally distributed set of scores with what is the probability of a score being equal to or greater than 200? $\mu = 200 \text { and } \sigma = 20$