Question 1

When there is an odd number of scores,the median

Accepted Answer

A) is the arithmetic average of the middle two scores. 
B) is the middle score. 
C) occurs within the real limits of the middle score(s)when there are duplications of the middle score(s). 
D) both a and c 
E) both b and c 
A) is the arithmetic average of the middle two scores. 
B) is the middle score. 
C) occurs within the real limits of the middle score(s)when there are duplications of the middle score(s). 
D) both a and c 
E) both b and c

Question 2

When a quantitative variable is measured on an ordinal level that departs markedly from interval characteristics,the mean is the most meaningful measure of central tendency.

Accepted Answer

A) True 
 B)False

Question 3

Based on the Method of Presentation section of Chapter 3,the symbol n indicates

Accepted Answer

A) the sample size in a particular group. 
B) the total sample size in the study. 
C) the population sample size. 
D) the number of groups in the study. 
A) the sample size in a particular group. 
B) the total sample size in the study. 
C) the population sample size. 
D) the number of groups in the study.

Question 4

The standard deviation is the:

Accepted Answer

A) square root of the sum of squares 
B) positive square root of the variance 
C) negative square root of the variance 
D) sum of squares divided by N 
A) square root of the sum of squares 
B) positive square root of the variance 
C) negative square root of the variance 
D) sum of squares divided by N

Question 5

Skewness refers to the tendency for scores to cluster on one side of the mean.

Accepted Answer

A) True 
 B)False

Question 6

The sum of squared deviations from the _____ will always be _____ the sum of squared deviations around any other value.

Accepted Answer

A) median;less than 
B) mode;equal to 
C) mean;greater than 
D) mean;less than 
A) median;less than 
B) mode;equal to 
C) mean;greater than 
D) mean;less than

Question 7

The standard deviation is the positive square root of the sum of squares.

Accepted Answer

A) True 
 B)False

Question 8

When variables are measured on an ordinal level that departs markedly from interval characteristics,the standard deviation is the best measure of variability.

Accepted Answer

A) True 
 B)False

Question 9

Measures of central tendency include the following EXCEPT _____.

Accepted Answer

A) mean 
B) median 
C) mode 
D) range 
E) All of these are measures of central tendency. 
A) mean 
B) median 
C) mode 
D) range 
E) All of these are measures of central tendency.

Question 10

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

Accepted Answer

A) True 
 B)False

Question 11

Considering the distribution -2,-4,-6,-8,-10,the SS is _____.

Accepted Answer

A) 40 
B) 8 
C) -40 
D) -8 
A) 40 
B) 8 
C) -40 
D) -8

Question 12

The mean,median,and mode are applicable to:

Accepted Answer

A) continuous variables only 
B) discrete variables only 
C) continuous and discrete variables 
D) interval and ratio level variables only 
A) continuous variables only 
B) discrete variables only 
C) continuous and discrete variables 
D) interval and ratio level variables only

Question 13

If you were measuring the income level of people living in Los Angeles you would use the median because____________________.

Accepted Answer

it is infl

Question 14

If SS for 30 students is 900,what is the variance?

Accepted Answer

A) 5.47 
B) more than 30 
C) less than 30 
D) exactly 30 
A) 5.47 
B) more than 30 
C) less than 30 
D) exactly 30

Question 15

The _____ is the measure of central tendency that is most sensitive to extreme values in a distribution.

Accepted Answer

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

Question 16

The concepts of median and mean are meaningless for qualitative variables.

Accepted Answer

A) True 
 B)False

Question 17

In real estate the Median house price is reported rather than the mean because_____.

Accepted Answer

A) it helps sale houses 
B) it is not affected by extreme house prices 
C) it indicates that 50% houses cost more and 50% cost less 
D) Both b & c 
E) All of these 
A) it helps sale houses 
B) it is not affected by extreme house prices 
C) it indicates that 50% houses cost more and 50% cost less 
D) Both b & c 
E) All of these

Question 18

The mean is computed by summing all of the scores and then dividing the sum by the
squared deviation scores.

Accepted Answer

A) True 
 B)False

Question 19

One problem with the sum of squares as an index of variability is that its size depends not only on the amount of _____ among the scores,but also on the _____ of scores.

Accepted Answer

A) variability;number 
B) skewness;kurtosis 
C) error;number 
D) none of these 
A) variability;number 
B) skewness;kurtosis 
C) error;number 
D) none of these

Question 20

The variance is the

Accepted Answer

A) average of the deviations from the mean divided by N. 
B) average of the squared deviations from the mean. 
C) sum of the deviations from the mean divided by N. 
D) sum of the squared deviations from the mean. 
A) average of the deviations from the mean divided by N. 
B) average of the squared deviations from the mean. 
C) sum of the deviations from the mean divided by N. 
D) sum of the squared deviations from the mean.

When there is an odd number of scores,the median

When a quantitative variable is measured on an ordinal level that departs markedly from interval characteristics,the mean is the most meaningful measure of central tendency.

Based on the Method of Presentation section of Chapter 3,the symbol n indicates

The standard deviation is the:

Skewness refers to the tendency for scores to cluster on one side of the mean.

The sum of squared deviations from the _ will always be _ the sum of squared deviations around any other value.

The standard deviation is the positive square root of the sum of squares.

When variables are measured on an ordinal level that departs markedly from interval characteristics,the standard deviation is the best measure of variability.

Measures of central tendency include the following EXCEPT _____.

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

Considering the distribution -2,-4,-6,-8,-10,the SS is _____.

The mean,median,and mode are applicable to:

If you were measuring the income level of people living in Los Angeles you would use the median because____________________.

If SS for 30 students is 900,what is the variance?

The _____ is the measure of central tendency that is most sensitive to extreme values in a distribution.

The concepts of median and mean are meaningless for qualitative variables.

In real estate the Median house price is reported rather than the mean because_____.

The mean is computed by summing all of the scores and then dividing the sum by the squared deviation scores.

One problem with the sum of squares as an index of variability is that its size depends not only on the amount of _ among the scores,but also on the _ of scores.

The variance is the

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

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

When there is an odd number of scores,the median

When a quantitative variable is measured on an ordinal level that departs markedly from interval characteristics,the mean is the most meaningful measure of central tendency.

Based on the Method of Presentation section of Chapter 3,the symbol n indicates

The standard deviation is the:

Skewness refers to the tendency for scores to cluster on one side of the mean.

The sum of squared deviations from the _____ will always be _____ the sum of squared deviations around any other value.

The standard deviation is the positive square root of the sum of squares.

When variables are measured on an ordinal level that departs markedly from interval characteristics,the standard deviation is the best measure of variability.

Measures of central tendency include the following EXCEPT _____.

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

Considering the distribution -2,-4,-6,-8,-10,the SS is _____.

The mean,median,and mode are applicable to:

If you were measuring the income level of people living in Los Angeles you would use the median because____________________.

If SS for 30 students is 900,what is the variance?

The _____ is the measure of central tendency that is most sensitive to extreme values in a distribution.

The concepts of median and mean are meaningless for qualitative variables.

In real estate the Median house price is reported rather than the mean because_____.

The mean is computed by summing all of the scores and then dividing the sum by the squared deviation scores.

One problem with the sum of squares as an index of variability is that its size depends not only on the amount of _____ among the scores,but also on the _____ of scores.

The variance is the

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

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

The sum of squared deviations from the _ will always be _ the sum of squared deviations around any other value.

One problem with the sum of squares as an index of variability is that its size depends not only on the amount of _ among the scores,but also on the _ of scores.