Question 1

If a variance for a set of scores is 25.0, then the standard deviation for those scores is.

Accepted Answer

A) 2.5 
B) 5.0 
C) 10.0 
D) cannot determine from 
A) 2.5 
B) 5.0 
C) 10.0 
D) cannot determine from

Question 2

Which of the following scales of measurement ordinarily does not lend itself to a measure of variability?

Accepted Answer

A) Nominal 
B) Ordinal 
C) Interval 
D) Ratio 
A) Nominal 
B) Ordinal 
C) Interval 
D) Ratio

Question 3

The dispersion there is among scores in a distribution, the the mean depicts a typical score for that distribution.

Accepted Answer

A) more; better 
B) more; less 
C) less; less 
D) greater; better 
A) more; better 
B) more; less 
C) less; less 
D) greater; better

Question 4

The sample mean predicts every score in a distribution perfectly when.

Accepted Answer

A) s = 1 
B) s = 0 
C) s2 = 1 
D) SS = 1 
A) s = 1 
B) s = 0 
C) s2 = 1 
D) SS = 1

Question 5

The sum of the squared deviations from the mean divided by the number of scores minus one is the definition for the.

Accepted Answer

A) estimated population standard deviation 
B) estimated population variance 
C) sample variance 
D) sample standard deviation 
A) estimated population standard deviation 
B) estimated population variance 
C) sample variance 
D) sample standard deviation

Question 6

Which of the following is the formula for the population variance?

Accepted Answer

A)  $\frac { \sum ( X - \mu ) } { N _ { \text {population } } }$ 
B)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N _ { \text {population } } }$ 
C)  $\frac { \sum ( X - \bar { X } ) } { N _ { \text {population } } }$ 
D)  $\frac { \sum ( X - \mu ) ^ { 2 } } { N _ { \text {population } } }$ 
A)  $\frac { \sum ( X - \mu ) } { N _ { \text {population } } }$ 
B)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N _ { \text {population } } }$ 
C)  $\frac { \sum ( X - \bar { X } ) } { N _ { \text {population } } }$ 
D)  $\frac { \sum ( X - \mu ) ^ { 2 } } { N _ { \text {population } } }$

Question 7

The square root of the estimated population variance is the estimated population.

Accepted Answer

A) range 
B) standard deviation 
C) median 
D) mode 
A) range 
B) standard deviation 
C) median 
D) mode

Question 8

If a standard deviation for a set of scores is 9.0, then the variance for those scores is.

Accepted Answer

A) 81.0 
B) 18.0 
C) 9.0 
D) 3.0 
A) 81.0 
B) 18.0 
C) 9.0 
D) 3.0

Question 9

A SS is given by.

Accepted Answer

A)  $\sum ( X - \bar { X } )$ 
B)  $\sum ( X + \bar { X } )$ 
C)  $\sum ( X + \bar { X } ) ^ { 2 }$ 
D)  $\sum ( X - \bar { X } ) ^ { 2 }$ 
A)  $\sum ( X - \bar { X } )$ 
B)  $\sum ( X + \bar { X } )$ 
C)  $\sum ( X + \bar { X } ) ^ { 2 }$ 
D)  $\sum ( X - \bar { X } ) ^ { 2 }$

Question 10

If the SS for a set of scores is zero, then s for those scores is.

Accepted Answer

A) zero 
B) +1.0 
C) -1.0 
D) cannot determine from the 
A) zero 
B) +1.0 
C) -1.0 
D) cannot determine from the

Question 11

The estimated population standard deviation is defined as the.

Accepted Answer

A) estimated population variance divided by the size of the sample 
B) square root of the estimated population variance 
C) estimated population variance divided by the size of the sample minus one 
D) estimated population variance squared 
A) estimated population variance divided by the size of the sample 
B) square root of the estimated population variance 
C) estimated population variance divided by the size of the sample minus one 
D) estimated population variance squared

Question 12

The numerator in the formula for calculating a variance is called a.

Accepted Answer

A) sum of squares 
B) differences squared 
C) squared sums 
D) squared differences 
A) sum of squares 
B) differences squared 
C) squared sums 
D) squared differences

Question 13

The range for the scores 10, 11, 12, 14, 16, 16, 16, 18, 19, 20 is.

Accepted Answer

A) 11 
B) 10 
C) 16 
D) 5 
A) 11 
B) 10 
C) 16 
D) 5

Question 14

The term refers to how much scores in a distribution differ from each other.

Accepted Answer

A) modality 
B) variability 
C) stability 
D) similarity 
A) modality 
B) variability 
C) stability 
D) similarity

Question 15

The sample variance is defined as the sum of the.

Accepted Answer

A) squared differences of each score from the mean of a distribution divided by the sample size 
B) differences of each score from the mean of a distribution divided by the sample size 
C) squared differences of each score from the mean of a distribution divided by the sample size minus one 
D) differences of each score from the mean of a distribution divided by the sample size minus one 
A) squared differences of each score from the mean of a distribution divided by the sample size 
B) differences of each score from the mean of a distribution divided by the sample size 
C) squared differences of each score from the mean of a distribution divided by the sample size minus one 
D) differences of each score from the mean of a distribution divided by the sample size minus one

Question 16

The estimated population variance of the scores 2, 4, 6 is.

Accepted Answer

A) 0.67 
B) 1.00 
C) 2.00 
D) 4.00 
A) 0.67 
B) 1.00 
C) 2.00 
D) 4.00

Question 17

Which of the following is the formula for the variance of a sample used to estimate the population variance?

Accepted Answer

A)  $\frac { \sum ( X - \bar { X } ) } { N }$ 
B)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N }$ 
C)  $\frac { \sum ( X - \bar { X } ) } { N - 1 }$ 
D)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N - 1 }$ 
A)  $\frac { \sum ( X - \bar { X } ) } { N }$ 
B)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N }$ 
C)  $\frac { \sum ( X - \bar { X } ) } { N - 1 }$ 
D)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N - 1 }$

Question 18

The scores cluster around a measure of central tendency in a distribution, the that measure of central tendency represents the scores.

Accepted Answer

A) less; better 
B) more; less 
C) more; better 
D) none of the above 
A) less; better 
B) more; less 
C) more; better 
D) none of the above

Question 19

The addition of an extreme value to a set of scores.

Accepted Answer

A) leaves the value of SS unchanged 
B) decreases the range 
C) decreases the standard deviation 
D) increases the variance 
A) leaves the value of SS unchanged 
B) decreases the range 
C) decreases the standard deviation 
D) increases the variance

Question 20

A measure of central tendency of a distribution is most representative of individual scores when there is variability among the scores.

Accepted Answer

A) little 
B) moderate 
C) much 
D) normal 
A) little 
B) moderate 
C) much 
D) normal

If a variance for a set of scores is 25.0, then the standard deviation for those scores is.

Which of the following scales of measurement ordinarily does not lend itself to a measure of variability?

The dispersion there is among scores in a distribution, the the mean depicts a typical score for that distribution.

The sample mean predicts every score in a distribution perfectly when.

The sum of the squared deviations from the mean divided by the number of scores minus one is the definition for the.

Which of the following is the formula for the population variance?

The square root of the estimated population variance is the estimated population.

If a standard deviation for a set of scores is 9.0, then the variance for those scores is.

A SS is given by.

If the SS for a set of scores is zero, then s for those scores is.

The estimated population standard deviation is defined as the.

The numerator in the formula for calculating a variance is called a.

The range for the scores 10, 11, 12, 14, 16, 16, 16, 18, 19, 20 is.

The term refers to how much scores in a distribution differ from each other.

The sample variance is defined as the sum of the.

The estimated population variance of the scores 2, 4, 6 is.

Which of the following is the formula for the variance of a sample used to estimate the population variance?

The scores cluster around a measure of central tendency in a distribution, the that measure of central tendency represents the scores.

The addition of an extreme value to a set of scores.

A measure of central tendency of a distribution is most representative of individual scores when there is variability among the scores.

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

The Normal Distribution, Probability, and Standard Scores

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 5: Looking at Data: Measures of Variability

If a variance for a set of scores is 25.0, then the standard deviation for those scores is.

Which of the following scales of measurement ordinarily does not lend itself to a measure of variability?

The dispersion there is among scores in a distribution, the the mean depicts a typical score for that distribution.

The sample mean predicts every score in a distribution perfectly when.

The sum of the squared deviations from the mean divided by the number of scores minus one is the definition for the.

Which of the following is the formula for the population variance?

The square root of the estimated population variance is the estimated population.

If a standard deviation for a set of scores is 9.0, then the variance for those scores is.

A SS is given by.

If the SS for a set of scores is zero, then s for those scores is.

The estimated population standard deviation is defined as the.

The numerator in the formula for calculating a variance is called a.

The range for the scores 10, 11, 12, 14, 16, 16, 16, 18, 19, 20 is.

The term refers to how much scores in a distribution differ from each other.

The sample variance is defined as the sum of the.

The estimated population variance of the scores 2, 4, 6 is.

Which of the following is the formula for the variance of a sample used to estimate the population variance?

The scores cluster around a measure of central tendency in a distribution, the that measure of central tendency represents the scores.

The addition of an extreme value to a set of scores.

A measure of central tendency of a distribution is most representative of individual scores when there is variability among the scores.

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

The Normal Distribution, Probability, and Standard Scores

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