Question 1

The positive square root of the variance is the _____.

Accepted Answer

A) root square mean 
B) standard deviation 
C) variance square root 
D) absolute squared deviation 
A) root square mean 
B) standard deviation 
C) variance square root 
D) absolute squared deviation

Question 2

_____ refers to the "average" score in a set of scores.

Accepted Answer

A) central tendency 
B) variability 
C) average deviation 
D) none of these 
A) central tendency 
B) variability 
C) average deviation 
D) none of these

Question 3

The term "central tendency" refers to _____.

Accepted Answer

A) an average 
B) a score around which other scores tend to cluster 
C) both a and b 
D) neither a nor b 
A) an average 
B) a score around which other scores tend to cluster 
C) both a and b 
D) neither a nor b

Question 4

Measures of Central tendency are an example of_____.

Accepted Answer

A) inferential statistics 
B) descriptive statistics 
C) nonparametric statistics 
D) both descriptive and nonparametric statistics 
A) inferential statistics 
B) descriptive statistics 
C) nonparametric statistics 
D) both descriptive and nonparametric statistics

Question 5

Explain why the mean is not an optimal measure of central tendency when there are one or more extreme scores in the distribution.

Accepted Answer

In general,when there are one or more ex

Question 6

If the mean is greater than the median the distribution is negatively skewed.

Accepted Answer

A) True 
 B)False

Question 7

The standard deviation represents an average deviation from the mean.

Accepted Answer

A) True 
 B)False

Question 8

Which measure of central tendency is affected by extreme scores?

Accepted Answer

A) mode 
B) median 
C) mean 
A) mode 
B) median 
C) mean

Question 9

Briefly define the mean and its relation to deviation scores.

Accepted Answer

The mean is the arithmetic average of a

Question 10

The mean is

Accepted Answer

A) the most frequently occurring score. 
B) the mathematical average. 
C) the midpoint of the distribution. 
A) the most frequently occurring score. 
B) the mathematical average. 
C) the midpoint of the distribution.

Question 11

The variability of a set of scores reflects its skewness.

Accepted Answer

A) True 
 B)False

Question 12

The median of a distribution of scores is the score that occurs most frequently.

Accepted Answer

A) True 
 B)False

Question 13

If a researcher were to subtract the mean of a distribution from each score in that distribution and add the differences,the resulting value would _____.

Accepted Answer

A) be equal to the median 
B) always be zero 
C) be greater than the mode 
D) depend upon the scores that make up the distribution 
A) be equal to the median 
B) always be zero 
C) be greater than the mode 
D) depend upon the scores that make up the distribution

Question 14

Briefly define the median and describe the three different approaches to its computation.

Accepted Answer

The median is the point in the distribut

Question 15

What type of graph uses medians and interquartile ranges rather than means and standard deviations ____________________.

Accepted Answer

The answer of What type of graph uses medians and...

Question 16

The mean of a set of scores is best described as _____.

Accepted Answer

A) a simple arithmetic average 
B) an arithmetic average weighted by the number of subjects 
C) usually equal to the mode 
D) relatively free of the effects of extreme values 
A) a simple arithmetic average 
B) an arithmetic average weighted by the number of subjects 
C) usually equal to the mode 
D) relatively free of the effects of extreme values

Question 17

The sum of signed deviations about the mean will always equal 1.0.

Accepted Answer

A) True 
 B)False

Question 18

The _____ is simply the arithmetic average of a set of scores.

Accepted Answer

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

Question 19

The standard deviation is the most easily interpreted measure of variability because it

Accepted Answer

A) does not include extreme scores. 
B) is measured in square units. 
C) is in the original unit of measurement. 
D) is usually a number larger than the variance. 
A) does not include extreme scores. 
B) is measured in square units. 
C) is in the original unit of measurement. 
D) is usually a number larger than the variance.

Question 20

Kurtosis is determined by the ____________________in the distribution.

Accepted Answer

The answer of Kurtosis is determined by the ____________________in the...

The positive square root of the variance is the _____.

_____ refers to the "average" score in a set of scores.

The term "central tendency" refers to _____.

Measures of Central tendency are an example of_____.

Explain why the mean is not an optimal measure of central tendency when there are one or more extreme scores in the distribution.

If the mean is greater than the median the distribution is negatively skewed.

The standard deviation represents an average deviation from the mean.

Which measure of central tendency is affected by extreme scores?

Briefly define the mean and its relation to deviation scores.

The mean is

The variability of a set of scores reflects its skewness.

The median of a distribution of scores is the score that occurs most frequently.

If a researcher were to subtract the mean of a distribution from each score in that distribution and add the differences,the resulting value would _____.

Briefly define the median and describe the three different approaches to its computation.

What type of graph uses medians and interquartile ranges rather than means and standard deviations ____________________.

The mean of a set of scores is best described as _____.

The sum of signed deviations about the mean will always equal 1.0.

The _____ is simply the arithmetic average of a set of scores.

The standard deviation is the most easily interpreted measure of variability because it

Kurtosis is determined by the ____________________in the distribution.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 3: Measures of Central Tendency and Variability

The positive square root of the variance is the _____.

_____ refers to the "average" score in a set of scores.

The term "central tendency" refers to _____.

Measures of Central tendency are an example of_____.

Explain why the mean is not an optimal measure of central tendency when there are one or more extreme scores in the distribution.

If the mean is greater than the median the distribution is negatively skewed.

The standard deviation represents an average deviation from the mean.

Which measure of central tendency is affected by extreme scores?

Briefly define the mean and its relation to deviation scores.

The mean is

The variability of a set of scores reflects its skewness.

The median of a distribution of scores is the score that occurs most frequently.

If a researcher were to subtract the mean of a distribution from each score in that distribution and add the differences,the resulting value would _____.

Briefly define the median and describe the three different approaches to its computation.

What type of graph uses medians and interquartile ranges rather than means and standard deviations ____________________.

The mean of a set of scores is best described as _____.

The sum of signed deviations about the mean will always equal 1.0.

The _____ is simply the arithmetic average of a set of scores.

The standard deviation is the most easily interpreted measure of variability because it

Kurtosis is determined by the ____________________in the distribution.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters