Question 1

Which of the following is one way to represent the variance?

Accepted Answer

A) s 
B) s2 
C) s(2) 
D) s / n 
A) s 
B) s2 
C) s(2) 
D) s / n

Question 2

Define variability.

Accepted Answer

Variability reflects how score

Question 3

If you have a variance of 9,your standard deviation will be ______.

Accepted Answer

A) 9 
B) 81 
C) 3 
D) 0 
A) 9 
B) 81 
C) 3 
D) 0

Question 4

How are the standard deviation and the variance similar? How are they different?

Accepted Answer

The standard deviation and variance are

Question 5

As your sample size grows larger,your standard deviation will be ______.

Accepted Answer

A) a more accurate estimate of the population 
B) a less accurate estimate of the population 
C) the accuracy will not change 
D) this cannot be determined 
A) a more accurate estimate of the population 
B) a less accurate estimate of the population 
C) the accuracy will not change 
D) this cannot be determined

Question 6

A greater standard deviation indicates less variance.

Accepted Answer

A) True 
 B)False

Question 7

The larger the standard deviation,the less spread out the values are.

Accepted Answer

A) True 
 B)False

Question 8

What is obtained by squaring the standard deviation?

Accepted Answer

A) mean deviation 
B) range 
C) variance 
D) squared deviation 
A) mean deviation 
B) range 
C) variance 
D) squared deviation

Question 9

The variance of a group of scores is 4.What is the standard deviation?

Accepted Answer

A) 3.5 
B) 18 
C) 2 
D) 16 
A) 3.5 
B) 18 
C) 2 
D) 16

Question 10

Which of the following sets of data has no variability?

Accepted Answer

A) 1,2,5,4,7 
B) 7,7,7,2,9 
C) 5,5,5,5,5 
D) 0,0,0,0,10 
A) 1,2,5,4,7 
B) 7,7,7,2,9 
C) 5,5,5,5,5 
D) 0,0,0,0,10

Question 11

What is the standard deviation for the following set of scores: 20,24,26,22,18,16,18?

Accepted Answer

A) 12.95 
B) 3.60 
C) 6.55 
D) 24 
A) 12.95 
B) 3.60 
C) 6.55 
D) 24

Question 12

If n = 24 and s = 1.56,what is the variance?

Accepted Answer

A) 2.43 
B) 1.25 
C) 0.06 
D) 0.0065 
A) 2.43 
B) 1.25 
C) 0.06 
D) 0.0065

Question 13

Which of the following sets of scores has the greatest variability?

Accepted Answer

A) 7,10,11,15,19 
B) 7,7,8,8,10,11 
C) 7,7,7,7,7,7 
D) 6,6,7,7,7,7 
A) 7,10,11,15,19 
B) 7,7,8,8,10,11 
C) 7,7,7,7,7,7 
D) 6,6,7,7,7,7

Question 14

When using sample estimates to estimate population parameters,you should use ______.

Accepted Answer

A) biased statistics 
B) unbiased statistics 
C) either biased or unbiased statistics 
D) none of these 
A) biased statistics 
B) unbiased statistics 
C) either biased or unbiased statistics 
D) none of these

Question 15

The standard deviation is sensitive to extreme scores.

Accepted Answer

A) True 
 B)False

Question 16

Variability is a measure of how much individual scores differ from the ______.

Accepted Answer

A) mean 
B) range 
C) standard deviation 
D) variance 
A) mean 
B) range 
C) standard deviation 
D) variance

Question 17

Which of the following measures how different scores are from one particular score?

Accepted Answer

A) average 
B) correlation 
C) variability 
D) standard deviation 
A) average 
B) correlation 
C) variability 
D) standard deviation

Question 18

Unbiased estimates are best used ______.

Accepted Answer

A) to make sample estimates 
B) to make population estimates 
C) to make sample or population estimates 
D) none of these 
A) to make sample estimates 
B) to make population estimates 
C) to make sample or population estimates 
D) none of these

Question 19

What is the inclusive range for the following set of scores: 34,14,17,57,22?

Accepted Answer

A) 14 
B) 17 
C) 57 
D) 44 
A) 14 
B) 17 
C) 57 
D) 44

Question 20

How does a biased standard deviation differ from an unbiased standard deviation?

Accepted Answer

The biased standard deviation uses n in

Which of the following is one way to represent the variance?

Define variability.

If you have a variance of 9,your standard deviation will be ______.

How are the standard deviation and the variance similar? How are they different?

As your sample size grows larger,your standard deviation will be ______.

A greater standard deviation indicates less variance.

The larger the standard deviation,the less spread out the values are.

What is obtained by squaring the standard deviation?

The variance of a group of scores is 4.What is the standard deviation?

Which of the following sets of data has no variability?

What is the standard deviation for the following set of scores: 20,24,26,22,18,16,18?

If n = 24 and s = 1.56,what is the variance?

Which of the following sets of scores has the greatest variability?

When using sample estimates to estimate population parameters,you should use ______.

The standard deviation is sensitive to extreme scores.

Variability is a measure of how much individual scores differ from the ______.

Which of the following measures how different scores are from one particular score?

Unbiased estimates are best used ______.

What is the inclusive range for the following set of scores: 34,14,17,57,22?

How does a biased standard deviation differ from an unbiased standard deviation?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Significantly Significant: What It Means for You and Me

Only the Lonely: the One Sample Z-Test

Teafor Two: Tests Between the Means of Different Groups

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Using Linear Regression: Predicting Wholl Win the Super Bowl

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

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Exam 3: Understanding Variability: Vive La Différence

Which of the following is one way to represent the variance?

Define variability.

If you have a variance of 9,your standard deviation will be ______.

How are the standard deviation and the variance similar? How are they different?

As your sample size grows larger,your standard deviation will be ______.

A greater standard deviation indicates less variance.

The larger the standard deviation,the less spread out the values are.

What is obtained by squaring the standard deviation?

The variance of a group of scores is 4.What is the standard deviation?

Which of the following sets of data has no variability?

What is the standard deviation for the following set of scores: 20,24,26,22,18,16,18?

If n = 24 and s = 1.56,what is the variance?

Which of the following sets of scores has the greatest variability?

When using sample estimates to estimate population parameters,you should use ______.

The standard deviation is sensitive to extreme scores.

Variability is a measure of how much individual scores differ from the ______.

Which of the following measures how different scores are from one particular score?

Unbiased estimates are best used ______.

What is the inclusive range for the following set of scores: 34,14,17,57,22?

How does a biased standard deviation differ from an unbiased standard deviation?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

A Picture Really Is Worth a Thousand Words

Computing Correlation Coefficients: Ice Cream and Crime

Understanding Reliability and Validity: Just the Truth

Hypotheticals and You: Testing Your Questions

Probability and Why It Counts: Fun With a Bell-Shaped Curve

Significantly Significant: What It Means for You and Me

Only the Lonely: the One Sample Z-Test

Teafor Two: Tests Between the Means of Different Groups

Teafor Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Testing Relationships Using the Correlation Coefficients: Cousins or Just Good Friends

Using Linear Regression: Predicting Wholl Win the Super Bowl

Chi-Square and Some Other Nonparametric Tests: What to Do When Youre Not Normal

Some Other Importantstatistical Procedures You Should Know About

An Introduction to Data Mining

Filters