Question 1

Which of the following measures of variability does not make use all the scores in a distribution for its computation?

Accepted Answer

A) Population standard deviation 
B) Estimated population standard deviation 
C) Estimated population variance 
D) Range 
A) Population standard deviation 
B) Estimated population standard deviation 
C) Estimated population variance 
D) Range D

Question 2

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

Accepted Answer

A) s = 0 
B) s2 = 0 
C) SS = 0 
D) all the above 
A) s = 0 
B) s2 = 0 
C) SS = 0 
D) all the above D

Question 3

The sum of the squared deviations from a population mean divided by the population size is the definition for the.

Accepted Answer

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

Question 4

Which of the following sets of scores has the largest estimated population variance?

Accepted Answer

A) 3, 3, 3, 3, 3 
B) 1, 2, 3, 4, 5 
C) 2, 2, 3, 4, 4 
D) 1, 1, 3, 5, 5 
A) 3, 3, 3, 3, 3 
B) 1, 2, 3, 4, 5 
C) 2, 2, 3, 4, 4 
D) 1, 1, 3, 5, 5

Question 5

If the SS for a set of scores is 100 and the sample size is 51, then s for those scores is.

Accepted Answer

A)  $2.0$ 
B)  $\sqrt { 2.0 }$ 
C)  $4.0$ 
D)  $\sqrt { 4.0 }$ 
A)  $2.0$ 
B)  $\sqrt { 2.0 }$ 
C)  $4.0$ 
D)  $\sqrt { 4.0 }$

Question 6

The sum of the squared differences of each score from the mean of a distribution divided by the number of scores 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 7

Which of the following sets of scores has the largest range?

Accepted Answer

A) 1, 1, 1, 4, 7, 7, 7 
B) 2, 2, 3, 4, 5, 6, 6 
C) 3, 3, 3, 4, 5, 5, 5 
D) 4, 4, 4, 4, 4, 4, 4 
A) 1, 1, 1, 4, 7, 7, 7 
B) 2, 2, 3, 4, 5, 6, 6 
C) 3, 3, 3, 4, 5, 5, 5 
D) 4, 4, 4, 4, 4, 4, 4

Question 8

The mean and standard deviation are the preferred descriptive statistics when a frequency distribution is.

Accepted Answer

A) unimodal and symmetrical 
B) bimodal and skewed 
C) positively or negatively skewed 
D) any of the above 
A) unimodal and symmetrical 
B) bimodal and skewed 
C) positively or negatively skewed 
D) any of the above

Question 9

Which of the following sets of scores has the smallest value of s?

Accepted Answer

A) 1, 1, 1, 4, 7, 7, 7 
B) 1, 2, 3, 4, 5, 6, 7 
C) 7, 7, 7, 7, 7, 7, 7 
D) 1, 1, 1, 2, 3, 3, 3 
A) 1, 1, 1, 4, 7, 7, 7 
B) 1, 2, 3, 4, 5, 6, 7 
C) 7, 7, 7, 7, 7, 7, 7 
D) 1, 1, 1, 2, 3, 3, 3

Question 10

The estimated population standard deviation is represented by.

Accepted Answer

A) s 
B)  $s ^ { 2 }$ 
C)  $S$ 
D)  $S ^ { 2 }$ 
A) s 
B)  $s ^ { 2 }$ 
C)  $S$ 
D)  $S ^ { 2 }$

Question 11

The symbol typically used for journal article presentations of the standard deviation is .

Accepted Answer

A) s 
B) S 
C) SD 
A) s 
B) S 
C) SD

Question 12

The estimated population standard deviation will be equal to zero when.

Accepted Answer

A) a distribution is normal 
B) the mean, median and mode all have the same value 
C) all the scores in a distribution have the same value 
D) a distribution is unimodal and symmetrical 
A) a distribution is normal 
B) the mean, median and mode all have the same value 
C) all the scores in a distribution have the same value 
D) a distribution is unimodal and symmetrical

Question 13

The population standard deviation is represented by.

Accepted Answer

A)  $\underline { \sigma }$ 
B)  $\sigma ^ { 2 }$ 
C) S 
D) s 
A)  $\underline { \sigma }$ 
B)  $\sigma ^ { 2 }$ 
C) S 
D) s

Question 14

When the measure of central tendency is the median, which of the following is an appropriate measure of variability?

Accepted Answer

A) Variance 
B) Standard deviation 
C) Range 
D) All the above 
A) Variance 
B) Standard deviation 
C) Range 
D) All the above

Question 15

The range is the.

Accepted Answer

A) difference between the highest and the lowest score in a distribution 
B) sum of the highest and lowest scores divided by two in a distribution 
C) difference between the 25th and the 75th percentiles in a distribution 
D) interval that contains the middle 50 percent of the scores in a distribution 
A) difference between the highest and the lowest score in a distribution 
B) sum of the highest and lowest scores divided by two in a distribution 
C) difference between the 25th and the 75th percentiles in a distribution 
D) interval that contains the middle 50 percent of the scores in a distribution

Question 16

The estimated population standard deviation 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

The estimated population variance is represented by.

Accepted Answer

A) s 
B)  $s ^ { 2 }$ 
C)  $\sigma ^ { 2 }$ 
D)  $\sigma$ 
A) s 
B)  $s ^ { 2 }$ 
C)  $\sigma ^ { 2 }$ 
D)  $\sigma$

Question 18

If all the scores in a distribution are the same value, then the estimated population variance of the scores will be.

Accepted Answer

A) 1.0 
B) equal to the mean of the set 
C) zero 
D) cannot determine without knowing the number of scores in the set 
A) 1.0 
B) equal to the mean of the set 
C) zero 
D) cannot determine without knowing the number of scores in the set

Question 19

When scores represent ratio level of the measurement, the is the preferred measure of central tendency and the the preferred measure of variability.

Accepted Answer

A) mean; range 
B) mean; standard deviation 
C) median; mean 
D) median; standard deviation 
A) mean; range 
B) mean; standard deviation 
C) median; mean 
D) median; standard deviation

Question 20

Which of the following is the formula for the estimated 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)  $\frac { \sum ( X - \bar { X } ) ^ { 2 } } { N - 1 }$

Which of the following measures of variability does not make use all the scores in a distribution for its computation?

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

The sum of the squared deviations from a population mean divided by the population size is the definition for the.

Which of the following sets of scores has the largest estimated population variance?

If the SS for a set of scores is 100 and the sample size is 51, then s for those scores is.

The sum of the squared differences of each score from the mean of a distribution divided by the number of scores is the definition for the.

Which of the following sets of scores has the largest range?

The mean and standard deviation are the preferred descriptive statistics when a frequency distribution is.

Which of the following sets of scores has the smallest value of s?

The estimated population standard deviation is represented by.

The symbol typically used for journal article presentations of the standard deviation is .

The estimated population standard deviation will be equal to zero when.

The population standard deviation is represented by.

When the measure of central tendency is the median, which of the following is an appropriate measure of variability?

The range is the.

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

The estimated population variance is represented by.

If all the scores in a distribution are the same value, then the estimated population variance of the scores will be.

When scores represent ratio level of the measurement, the is the preferred measure of central tendency and the the preferred measure of variability.

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

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

Which of the following measures of variability does not make use all the scores in a distribution for its computation?

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

The sum of the squared deviations from a population mean divided by the population size is the definition for the.

Which of the following sets of scores has the largest estimated population variance?

If the SS for a set of scores is 100 and the sample size is 51, then s for those scores is.

The sum of the squared differences of each score from the mean of a distribution divided by the number of scores is the definition for the.

Which of the following sets of scores has the largest range?

The mean and standard deviation are the preferred descriptive statistics when a frequency distribution is.

Which of the following sets of scores has the smallest value of s?

The estimated population standard deviation is represented by.

The symbol typically used for journal article presentations of the standard deviation is .

The estimated population standard deviation will be equal to zero when.

The population standard deviation is represented by.

When the measure of central tendency is the median, which of the following is an appropriate measure of variability?

The range is the.

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

The estimated population variance is represented by.

If all the scores in a distribution are the same value, then the estimated population variance of the scores will be.

When scores represent ratio level of the measurement, the is the preferred measure of central tendency and the the preferred measure of variability.

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

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