Question 1

Kurtosis is determined by the ____________________in the distribution.

Accepted Answer

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

Question 2

The mode of a distribution of scores:

Accepted Answer

A) is the most easily computed index of central tendency 
B) is simply the score that occurs most frequently 
C) has the highest "peak" in a graph of a distribution of scores 
D) all of these 
A) is the most easily computed index of central tendency 
B) is simply the score that occurs most frequently 
C) has the highest "peak" in a graph of a distribution of scores 
D) all of these

Question 3

The shape of a distribution is influenced by both the variance with in the data set and the mean median and mode.

Accepted Answer

A) True 
 B)False

Question 4

What measures are used to determine the amount of variability that occurs in a data set?

Accepted Answer

A) Variance 
B) Standard Deviation 
C) Mean 
D) Both Variance and Standard Deviation 
E) All of these 
A) Variance 
B) Standard Deviation 
C) Mean 
D) Both Variance and Standard Deviation 
E) All of these

Question 5

In practice,the three measures of central tendency will almost always be equal to one another.

Accepted Answer

A) True 
 B)False

Question 6

The _____ is the difference between the highest and lowest scores after the top 25% of the scores and the bottom 25% of the scores have been eliminated from the data.

Accepted Answer

A) range 
B) interquartile range 
C) intermediate range 
D) intertertial range 
A) range 
B) interquartile range 
C) intermediate range 
D) intertertial range

Question 7

What is the standard deviation?

Accepted Answer

The standard deviation is the

Question 8

How would you describe the relationship between the mean,median,and the mode in a positively skewed distribution?

Accepted Answer

A) mean > median > mode 
B) mean  mode > median 
A) mean > median > mode 
B) mean  mode > median

Question 9

When comparing two different distributions,which of the following is not possible?

Accepted Answer

A) both have the same mean,but different standard deviations 
B) both have the same standard deviation,but different means 
C) both have the same mean and the same standard deviation 
D) both have different means and different standard deviations 
E) all of these are possible 
A) both have the same mean,but different standard deviations 
B) both have the same standard deviation,but different means 
C) both have the same mean and the same standard deviation 
D) both have different means and different standard deviations 
E) all of these are possible

Question 10

Because discrete variables are only measured with whole numbers,fractions are never included when reporting the means for discrete variables.

Accepted Answer

A) True 
 B)False

Question 11

The best answer to the question,"What value indicates a large standard deviation?" is:

Accepted Answer

A) any value greater than 10.00 
B) any value greater than 100.00 
C) it depends on the variability 
D) it depends on what is being measured 
A) any value greater than 10.00 
B) any value greater than 100.00 
C) it depends on the variability 
D) it depends on what is being measured

Question 12

Eight psychology students took a well-known I.Q.test and achieved the following scores: 96,98,108,110,115,120,121,142.The mean I.Q.is _____.

Accepted Answer

A) 130 
B) 113.80 
C) 113.75 
D) 115 
E) None of these 
A) 130 
B) 113.80 
C) 113.75 
D) 115 
E) None of these

Question 13

Measures of central tendency are measures of

Accepted Answer

A) deviations. 
B) location. 
C) distance. 
D) extremes. 
A) deviations. 
B) location. 
C) distance. 
D) extremes.

Question 14

If you subtract the mean from each X score and sum these scores,the sum will equal:

Accepted Answer

A) 1 
B) a number greater than 1 
C) 0 
D) cannot be determined from the information given 
A) 1 
B) a number greater than 1 
C) 0 
D) cannot be determined from the information given

Question 15

The median is used when there are extreme scores for example income levels or house prices.

Accepted Answer

A) True 
 B)False

Question 16

The range is a good measure of variability because it takes extreme scores into account.

Accepted Answer

A) True 
 B)False

Question 17

_____refer(s)to the tendency for scores to cluster on one side of the mean in some distributions.

Accepted Answer

A) Unbalancing 
B) Skewness 
C) Kurtosis 
D) Both skewness and kurtosis 
E) None of these 
A) Unbalancing 
B) Skewness 
C) Kurtosis 
D) Both skewness and kurtosis 
E) None of these

Question 18

The median is used as the measure of central tendency when defining the sum of squares.

Accepted Answer

A) True 
 B)False

Question 19

Kurtosis refers to the flatness or peakedness of one distribution relative to another.

Accepted Answer

A) True 
 B)False

Question 20

The _____ is the point in the distribution of scores that divides the distribution into two equal parts.

Accepted Answer

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

Kurtosis is determined by the ____________________in the distribution.

The mode of a distribution of scores:

The shape of a distribution is influenced by both the variance with in the data set and the mean median and mode.

What measures are used to determine the amount of variability that occurs in a data set?

In practice,the three measures of central tendency will almost always be equal to one another.

The _____ is the difference between the highest and lowest scores after the top 25% of the scores and the bottom 25% of the scores have been eliminated from the data.

What is the standard deviation?

How would you describe the relationship between the mean,median,and the mode in a positively skewed distribution?

When comparing two different distributions,which of the following is not possible?

Because discrete variables are only measured with whole numbers,fractions are never included when reporting the means for discrete variables.

The best answer to the question,"What value indicates a large standard deviation?" is:

Eight psychology students took a well-known I.Q.test and achieved the following scores: 96,98,108,110,115,120,121,142.The mean I.Q.is _____.

Measures of central tendency are measures of

If you subtract the mean from each X score and sum these scores,the sum will equal:

The median is used when there are extreme scores for example income levels or house prices.

The range is a good measure of variability because it takes extreme scores into account.

_____refer(s)to the tendency for scores to cluster on one side of the mean in some distributions.

The median is used as the measure of central tendency when defining the sum of squares.

Kurtosis refers to the flatness or peakedness of one distribution relative to another.

The _____ is the point in the distribution of scores that divides the distribution into two equal parts.

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

Kurtosis is determined by the ____________________in the distribution.

The mode of a distribution of scores:

The shape of a distribution is influenced by both the variance with in the data set and the mean median and mode.

What measures are used to determine the amount of variability that occurs in a data set?

In practice,the three measures of central tendency will almost always be equal to one another.

The _____ is the difference between the highest and lowest scores after the top 25% of the scores and the bottom 25% of the scores have been eliminated from the data.

What is the standard deviation?

How would you describe the relationship between the mean,median,and the mode in a positively skewed distribution?

When comparing two different distributions,which of the following is not possible?

Because discrete variables are only measured with whole numbers,fractions are never included when reporting the means for discrete variables.

The best answer to the question,"What value indicates a large standard deviation?" is:

Eight psychology students took a well-known I.Q.test and achieved the following scores: 96,98,108,110,115,120,121,142.The mean I.Q.is _____.

Measures of central tendency are measures of

If you subtract the mean from each X score and sum these scores,the sum will equal:

The median is used when there are extreme scores for example income levels or house prices.

The range is a good measure of variability because it takes extreme scores into account.

_____refer(s)to the tendency for scores to cluster on one side of the mean in some distributions.

The median is used as the measure of central tendency when defining the sum of squares.

Kurtosis refers to the flatness or peakedness of one distribution relative to another.

The _____ is the point in the distribution of scores that divides the distribution into two equal parts.

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