Question 1

What do you need to calculate first before calculating skewness?

Accepted Answer

A) mean and median 
B) median and mode 
C) mode and mean 
D) mode and variance 
A) mean and median 
B) median and mode 
C) mode and mean 
D) mode and variance A

Question 2

If a distribution has a mean of 1,000 and a standard deviation of 100,how many standard deviations is 600 from the mean?

Accepted Answer

A) -2 
B) -4 
C) 4 
D) 2 
A) -2 
B) -4 
C) 4 
D) 2 B

Question 3

In order to say that a distribution is positively skewed,which of the following must be TRUE?

Accepted Answer

A) Right tail must be longer than left. 
B) Right tail must be shorter than left. 
C) Right and left tail must be equal. 
D) Curve must be bell-shaped. 
A) Right tail must be longer than left. 
B) Right tail must be shorter than left. 
C) Right and left tail must be equal. 
D) Curve must be bell-shaped. A

Question 4

A score that is three standard deviations above the mean would have a z score of ______.

Accepted Answer

A) 0 
B) 3 
C) -3 
D) 1 
A) 0 
B) 3 
C) -3 
D) 1

Question 5

What type of standard score indicates the number of standard deviations from the mean?

Accepted Answer

A) IQ score 
B) T score 
C) x score 
D) z score 
A) IQ score 
B) T score 
C) x score 
D) z score

Question 6

Why do we use standard scores?

Accepted Answer

We use standard scor

Question 7

A z score of -1 has a T score of ______.

Accepted Answer

A) 10 
B) 60 
C) 50 
D) 40 
A) 10 
B) 60 
C) 50 
D) 40

Question 8

The fact that the tails of a normal distribution never touch the horizontal axis relates to ______ property.

Accepted Answer

A) symmetrical 
B) asymptotic 
C) equidistant 
D) approximate 
A) symmetrical 
B) asymptotic 
C) equidistant 
D) approximate

Question 9

What is TRUE of z scores that are equal to the mean?

Accepted Answer

A) They are negative. 
B) They are positive. 
C) They are equal to 0. 
D) They are equal to 1. 
A) They are negative. 
B) They are positive. 
C) They are equal to 0. 
D) They are equal to 1.

Question 10

Under the normal curve,if a z score of 1.65 included 45% of the area above the mean,what percentage would remain above 1.65 on the x-axis?

Accepted Answer

A) 5% 
B) 25% 
C) 85% 
D) 95% 
A) 5% 
B) 25% 
C) 85% 
D) 95%

Question 11

Under the normal curve,approximately what percentage of scores falls between -1 and -2 standard deviations below the mean?

Accepted Answer

A) 14% 
B) 34% 
C) 68% 
D) 95% 
A) 14% 
B) 34% 
C) 68% 
D) 95%

Question 12

The standard used by statisticians to determine the probability of an event occurring outside of chance alone is ______

Accepted Answer

A) 0.05% 
B) 99% 
C) 95% 
D) 5% 
A) 0.05% 
B) 99% 
C) 95% 
D) 5%

Question 13

Standard scores are predicted scores that have been adjusted for the particular mean and standard deviation of the distribution from which they are derived.

Accepted Answer

A) True 
 B)False

Question 14

A distribution of scores in which almost the entire class scored very high,but a few students scored fairly low would be ______.

Accepted Answer

A) normally distributed 
B) positively skewed 
C) unskewed 
D) negatively skewed 
A) normally distributed 
B) positively skewed 
C) unskewed 
D) negatively skewed

Question 15

If a distribution has a mean of 25 and a standard deviation of 2,what value would be -4 standard deviations from the mean?

Accepted Answer

A) 25 
B) 14 
C) 17 
D) 33 
A) 25 
B) 14 
C) 17 
D) 33

Question 16

If a distribution has a mean of 50 and a standard deviation of 25,how many standard deviations is 0 from the mean?

Accepted Answer

A) 2 
B) -2 
C) 0 
D) 5 
A) 2 
B) -2 
C) 0 
D) 5

Question 17

Events that occur in the extremes of the normal curve have a very small probability of occurring.

Accepted Answer

A) True 
 B)False

Question 18

What are three characteristics of a normal curve?

Accepted Answer

A normal curve has the three f

Question 19

In a distribution with a mean of 100 and a standard deviation of 15,the probability that a score will be 115 or higher is ______.

Accepted Answer

A) 506% 
B) 84% 
C) 16% 
D) 34% 
A) 506% 
B) 84% 
C) 16% 
D) 34%

Question 20

When most people scored high on a test of knitting knowledge,and very few people scored low,what is the distribution called?

Accepted Answer

A) platykurtic 
B) leptokurtic 
C) positively skewed 
D) negatively skewed 
A) platykurtic 
B) leptokurtic 
C) positively skewed 
D) negatively skewed

What do you need to calculate first before calculating skewness?

If a distribution has a mean of 1,000 and a standard deviation of 100,how many standard deviations is 600 from the mean?

In order to say that a distribution is positively skewed,which of the following must be TRUE?

A score that is three standard deviations above the mean would have a z score of ______.

What type of standard score indicates the number of standard deviations from the mean?

Why do we use standard scores?

A z score of -1 has a T score of ______.

The fact that the tails of a normal distribution never touch the horizontal axis relates to ______ property.

What is TRUE of z scores that are equal to the mean?

Under the normal curve,if a z score of 1.65 included 45% of the area above the mean,what percentage would remain above 1.65 on the x-axis?

Under the normal curve,approximately what percentage of scores falls between -1 and -2 standard deviations below the mean?

The standard used by statisticians to determine the probability of an event occurring outside of chance alone is ______

Standard scores are predicted scores that have been adjusted for the particular mean and standard deviation of the distribution from which they are derived.

A distribution of scores in which almost the entire class scored very high,but a few students scored fairly low would be ______.

If a distribution has a mean of 25 and a standard deviation of 2,what value would be -4 standard deviations from the mean?

If a distribution has a mean of 50 and a standard deviation of 25,how many standard deviations is 0 from the mean?

Events that occur in the extremes of the normal curve have a very small probability of occurring.

What are three characteristics of a normal curve?

In a distribution with a mean of 100 and a standard deviation of 15,the probability that a score will be 115 or higher is ______.

When most people scored high on a test of knitting knowledge,and very few people scored low,what is the distribution called?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

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

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

Exam 8: Probability and Why It Counts: Fun With a Bell-Shaped Curve

What do you need to calculate first before calculating skewness?

If a distribution has a mean of 1,000 and a standard deviation of 100,how many standard deviations is 600 from the mean?

In order to say that a distribution is positively skewed,which of the following must be TRUE?

A score that is three standard deviations above the mean would have a z score of ______.

What type of standard score indicates the number of standard deviations from the mean?

Why do we use standard scores?

A z score of -1 has a T score of ______.

The fact that the tails of a normal distribution never touch the horizontal axis relates to ______ property.

What is TRUE of z scores that are equal to the mean?

Under the normal curve,if a z score of 1.65 included 45% of the area above the mean,what percentage would remain above 1.65 on the x-axis?

Under the normal curve,approximately what percentage of scores falls between -1 and -2 standard deviations below the mean?

The standard used by statisticians to determine the probability of an event occurring outside of chance alone is ______

Standard scores are predicted scores that have been adjusted for the particular mean and standard deviation of the distribution from which they are derived.

A distribution of scores in which almost the entire class scored very high,but a few students scored fairly low would be ______.

If a distribution has a mean of 25 and a standard deviation of 2,what value would be -4 standard deviations from the mean?

If a distribution has a mean of 50 and a standard deviation of 25,how many standard deviations is 0 from the mean?

Events that occur in the extremes of the normal curve have a very small probability of occurring.

What are three characteristics of a normal curve?

In a distribution with a mean of 100 and a standard deviation of 15,the probability that a score will be 115 or higher is ______.

When most people scored high on a test of knitting knowledge,and very few people scored low,what is the distribution called?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Understanding Variability: Vive La Différence

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

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