Question 1

The normal distribution is bimodal and symmetric.

Accepted Answer

A) True 
 B)False

Question 2

"Abscissa" is to _______ as "ordinate" is to _______.

Accepted Answer

A)  density; frequency 
B)  frequency; density 
C)  horizontal; vertical 
D)  vertical; horizontal 
A)  density; frequency 
B)  frequency; density 
C)  horizontal; vertical 
D)  vertical; horizontal

Question 3

In a normal distribution, about how much of the distribution lies within two (2) standard deviations of the mean?

Accepted Answer

A)  33% of the distribution 
B)  50% of the distribution 
C)  66% of the distribution 
D)  95% of the distribution 
A)  33% of the distribution 
B)  50% of the distribution 
C)  66% of the distribution 
D)  95% of the distribution

Question 4

A linear transformation of data

Accepted Answer

A)  multiplies all scores by a constant and/or adds some constant to all scores. 
B)  is illegal. 
C)  drastically changes the shape of a distribution. 
D)  causes the data to form a straight line. 
A)  multiplies all scores by a constant and/or adds some constant to all scores. 
B)  is illegal. 
C)  drastically changes the shape of a distribution. 
D)  causes the data to form a straight line.

Question 5

The most common situation in statistical procedures is to assume that

Accepted Answer

A)  data are positively skewed. 
B)  data are negatively skewed. 
C)  data are normally distributed. 
D)  it doesn't make any difference what the distribution of the data looks like. 
A)  data are positively skewed. 
B)  data are negatively skewed. 
C)  data are normally distributed. 
D)  it doesn't make any difference what the distribution of the data looks like.

Question 6

If behavior problem scores are normally distributed, and we want to say something meaningful about what values are likely and what are unlikely, we would have to know

Accepted Answer

A)  the mean. 
B)  the standard deviation. 
C)  the sample size. 
D)  both a and b 
A)  the mean. 
B)  the standard deviation. 
C)  the sample size. 
D)  both a and b

Question 7

If the test scores on an art history exam were normally distributed with a mean of 76 and standard deviation of 6, we would expect

Accepted Answer

A)  most students scored around 70. 
B)  no one scored 100 on the exam. 
C)  almost equal numbers of students scored a 70 and an 82. 
D)  both a and c 
A)  most students scored around 70. 
B)  no one scored 100 on the exam. 
C)  almost equal numbers of students scored a 70 and an 82. 
D)  both a and c

Question 8

If behavior problem scores are roughly normally distributed in the population, a sample of behavior problem scores will

Accepted Answer

A)  be normally distributed with any size sample. 
B)  more closely resemble a normal distribution as the sample size increases. 
C)  have a mean of 0 and a standard deviation of 1. 
D)  be negatively skewed. 
A)  be normally distributed with any size sample. 
B)  more closely resemble a normal distribution as the sample size increases. 
C)  have a mean of 0 and a standard deviation of 1. 
D)  be negatively skewed.

Question 9

A z score of 1.25 represents an observation that is

Accepted Answer

A)  1.25 standard deviation below the mean. 
B)  0.25 standard deviations above the mean of 1. 
C)  1.25 standard deviations above the mean. 
D)  both b and c 
A)  1.25 standard deviation below the mean. 
B)  0.25 standard deviations above the mean of 1. 
C)  1.25 standard deviations above the mean. 
D)  both b and c

Question 10

Transforming a set of data to a new mean and standard deviation using a linear transformation

Accepted Answer

A)  alters the shape of the distribution. 
B)  makes the scores harder to work with. 
C)  is rarely permissible. 
D)  is something we do frequently. 
A)  alters the shape of the distribution. 
B)  makes the scores harder to work with. 
C)  is rarely permissible. 
D)  is something we do frequently.

Question 11

Knowing that data are normally distributed allows me to

Accepted Answer

A)  calculate the probability of obtaining a score greater than some specified value. 
B)  calculate the probability of obtaining a score of exactly 1. 
C)  calculate what range of values are unlikely to occur by chance. 
D)  both a and c 
A)  calculate the probability of obtaining a score greater than some specified value. 
B)  calculate the probability of obtaining a score of exactly 1. 
C)  calculate what range of values are unlikely to occur by chance. 
D)  both a and c

Question 12

If you are interested in identifying children who are highly aggressive, and you have a normally distributed scale that will do so, you will be particularly interested in

Accepted Answer

A)  scores on that scale that are substantially above the mean. 
B)  scores on that scale that are substantially far from the mean. 
C)  scores on that scale that are substantially below the mean. 
D)  any extreme score. 
A)  scores on that scale that are substantially above the mean. 
B)  scores on that scale that are substantially far from the mean. 
C)  scores on that scale that are substantially below the mean. 
D)  any extreme score.

Question 13

The distribution that is normally distributed with a mean of 0 and a standard deviation of 1 is called

Accepted Answer

A)  the normal distribution. 
B)  the standard normal distribution. 
C)  the skewed normal distribution. 
D)  the ideal normal distribution. 
A)  the normal distribution. 
B)  the standard normal distribution. 
C)  the skewed normal distribution. 
D)  the ideal normal distribution.

Question 14

In a normal distribution, the majority of scores fall beyond plus or minus one standard deviation from the mean.

Accepted Answer

A) True 
 B)False

Question 15

The difference between a standard score of -1.0 and a standard score of 1.0 is

Accepted Answer

A)  the standard score 1.0 is farther from the mean than -1.0. 
B)  the standard score -1.0 is farther from the mean than 1.0. 
C)  the standard score 1.0 is above the mean while -1.0 is below the mean. 
D)  the standard score -1.0 is above the mean while 1.0 is below the mean. 
A)  the standard score 1.0 is farther from the mean than -1.0. 
B)  the standard score -1.0 is farther from the mean than 1.0. 
C)  the standard score 1.0 is above the mean while -1.0 is below the mean. 
D)  the standard score -1.0 is above the mean while 1.0 is below the mean.

Question 16

Which of the following is a good reason to convert data to z scores?

Accepted Answer

A)  We want to be able to estimate probabilities or proportions easily. 
B)  We think that it is easier for people to work with round numbers. 
C)  We want to make a skewed set of data into a normally distributed set of data. 
D)  all of the above 
A)  We want to be able to estimate probabilities or proportions easily. 
B)  We think that it is easier for people to work with round numbers. 
C)  We want to make a skewed set of data into a normally distributed set of data. 
D)  all of the above

Question 17

The advantage of using T-scores and standard scores is

Accepted Answer

A)  those scores provide a common form of reference to everyone using them. 
B)  only negative numbers are used. 
C)  the mean is always 10. 
D)  scores of -1 and +1 are equal distances from the mean. 
A)  those scores provide a common form of reference to everyone using them. 
B)  only negative numbers are used. 
C)  the mean is always 10. 
D)  scores of -1 and +1 are equal distances from the mean.

Question 18

A normal distribution

Accepted Answer

A)  has more than half of its data points to the left of the median. 
B)  has more than half of its data points to the right of the mean. 
C)  has 95% of its data points within one standard deviation of the mean. 
D)  is symmetrical. 
A)  has more than half of its data points to the left of the median. 
B)  has more than half of its data points to the right of the mean. 
C)  has 95% of its data points within one standard deviation of the mean. 
D)  is symmetrical.

Question 19

Using the distribution in the previous question, calculate z scores for: 
a. X = 11 
b. X = 35 
c. X = 71

Accepted Answer

a. -1.78

The normal distribution is bimodal and symmetric.

"Abscissa" is to _ as "ordinate" is to _.

In a normal distribution, about how much of the distribution lies within two (2) standard deviations of the mean?

A linear transformation of data

The most common situation in statistical procedures is to assume that

If behavior problem scores are normally distributed, and we want to say something meaningful about what values are likely and what are unlikely, we would have to know

If the test scores on an art history exam were normally distributed with a mean of 76 and standard deviation of 6, we would expect

If behavior problem scores are roughly normally distributed in the population, a sample of behavior problem scores will

A z score of 1.25 represents an observation that is

Transforming a set of data to a new mean and standard deviation using a linear transformation

Knowing that data are normally distributed allows me to

If you are interested in identifying children who are highly aggressive, and you have a normally distributed scale that will do so, you will be particularly interested in

The distribution that is normally distributed with a mean of 0 and a standard deviation of 1 is called

In a normal distribution, the majority of scores fall beyond plus or minus one standard deviation from the mean.

The difference between a standard score of -1.0 and a standard score of 1.0 is

Which of the following is a good reason to convert data to z scores?

The advantage of using T-scores and standard scores is

A normal distribution

Using the distribution in the previous question, calculate z scores for: a. X = 11 b. X = 35 c. X = 71

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Exam 6: The Normal Distribution

The normal distribution is bimodal and symmetric.

"Abscissa" is to _______ as "ordinate" is to _______.

In a normal distribution, about how much of the distribution lies within two (2) standard deviations of the mean?

A linear transformation of data

The most common situation in statistical procedures is to assume that

If behavior problem scores are normally distributed, and we want to say something meaningful about what values are likely and what are unlikely, we would have to know

If the test scores on an art history exam were normally distributed with a mean of 76 and standard deviation of 6, we would expect

If behavior problem scores are roughly normally distributed in the population, a sample of behavior problem scores will

A z score of 1.25 represents an observation that is

Transforming a set of data to a new mean and standard deviation using a linear transformation

Knowing that data are normally distributed allows me to

If you are interested in identifying children who are highly aggressive, and you have a normally distributed scale that will do so, you will be particularly interested in

The distribution that is normally distributed with a mean of 0 and a standard deviation of 1 is called

In a normal distribution, the majority of scores fall beyond plus or minus one standard deviation from the mean.

The difference between a standard score of -1.0 and a standard score of 1.0 is

Which of the following is a good reason to convert data to z scores?

The advantage of using T-scores and standard scores is

A normal distribution

Using the distribution in the previous question, calculate z scores for: a. X = 11 b. X = 35 c. X = 71

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

"Abscissa" is to _ as "ordinate" is to _.