Question 1

What is the outcome when a null hypothesis has been rejected and the null hypothesis is TRUE?

Accepted Answer

A) a Type II error 
B) power 
C) a null error 
D) a Type I error 
A) a Type II error 
B) power 
C) a null error 
D) a Type I error

Question 2

If you conclude that your findings yield a 50 in 1,000 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

Accepted Answer

A) 0.01 
B) 0.05 
C) 0.10 
D) 0.20 
A) 0.01 
B) 0.05 
C) 0.10 
D) 0.20

Question 3

Why does the researcher never really know the TRUE nature of the null hypothesis?

Accepted Answer

Because the populati

Question 4

What is the difference between Type I error and Type II error?

Accepted Answer

Type I error is the probabilit

Question 5

What is the definition of the degree of risk you are willing to take that you will reject a null hypothesis when it is actually true?

Accepted Answer

A) Type I error 
B) chance 
C) Type II error 
D) statistical significance 
A) Type I error 
B) chance 
C) Type II error 
D) statistical significance

Question 6

The concept in a beginning statistics course that causes students the most confusion is ______.

Accepted Answer

A) statistics 
B) significance 
C) meaningfulness 
D) probability 
A) statistics 
B) significance 
C) meaningfulness 
D) probability

Question 7

When conducting a study,researchers should try as much as possible to reduce the likelihood of error by removing all competing reasons for any differences or relationships.

Accepted Answer

A) True 
 B)False

Question 8

The statistical value that is compared with the calculated value is called the ______.

Accepted Answer

A) obtained value 
B) test statistic 
C) critical value 
D) comparison value 
A) obtained value 
B) test statistic 
C) critical value 
D) comparison value

Question 9

A Type II error is related to a factor such as ______.

Accepted Answer

A) a Type III error 
B) a Type I error 
C) sample size 
D) significance 
A) a Type III error 
B) a Type I error 
C) sample size 
D) significance

Question 10

If you conclude that your findings yield a 1 in 20 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

Accepted Answer

A) 0.01 
B) 0.05 
C) 0.10 
D) 0.20 
A) 0.01 
B) 0.05 
C) 0.10 
D) 0.20

Question 11

Inferential statistics is defined as a set of tools that are used to infer the results based on the sample to a population.

Accepted Answer

A) True 
 B)False

Question 12

The test statistic value calculated by the statistical procedure selected is known as the ______.

Accepted Answer

A) critical value 
B) significance level 
C) observed value 
D) p value 
A) critical value 
B) significance level 
C) observed value 
D) p value

Question 13

How well a statistical test can detect and reject a null hypothesis when it is FALSE refers to ______.

Accepted Answer

A) Force 
B) Power 
C) Strength 
D) Fortitude 
A) Force 
B) Power 
C) Strength 
D) Fortitude

Question 14

How is power calculated?

Accepted Answer

A) Subtract the value of the Type II error from 1. 
B) Subtract the value of the Type I error from 1. 
C) Subtract 1 from the value of the Type II error. 
D) Subtract 1 from the value of the Type I error. 
A) Subtract the value of the Type II error from 1. 
B) Subtract the value of the Type I error from 1. 
C) Subtract 1 from the value of the Type II error. 
D) Subtract 1 from the value of the Type I error.

Question 15

The term associated with identifying differences between groups that are NOT due to chance is ______.

Accepted Answer

A) probability 
B) meaningfulness 
C) significance 
D) statistics 
A) probability 
B) meaningfulness 
C) significance 
D) statistics

Question 16

It is possible to have a statistically significant result that is NOT meaningful.

Accepted Answer

A) True 
 B)False

Question 17

Statistical significance is also known as the risk of ______.

Accepted Answer

A) a Type II error 
B) power 
C) a null error 
D) a Type I error 
A) a Type II error 
B) power 
C) a null error 
D) a Type I error

Question 18

If we reject the null hypothesis,it suggests that ______.

Accepted Answer

A) The obtained value is more extreme than the critical value. 
B) The obtained value is smaller than the critical value. 
C) The obtained value is the same as the critical value. 
D) There is a difference between the obtained value and the critical value. 
A) The obtained value is more extreme than the critical value. 
B) The obtained value is smaller than the critical value. 
C) The obtained value is the same as the critical value. 
D) There is a difference between the obtained value and the critical value.

What is the outcome when a null hypothesis has been rejected and the null hypothesis is TRUE?

If you conclude that your findings yield a 50 in 1,000 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

Why does the researcher never really know the TRUE nature of the null hypothesis?

What is the difference between Type I error and Type II error?

What is the definition of the degree of risk you are willing to take that you will reject a null hypothesis when it is actually true?

The concept in a beginning statistics course that causes students the most confusion is ______.

When conducting a study,researchers should try as much as possible to reduce the likelihood of error by removing all competing reasons for any differences or relationships.

The statistical value that is compared with the calculated value is called the ______.

A Type II error is related to a factor such as ______.

If you conclude that your findings yield a 1 in 20 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

Inferential statistics is defined as a set of tools that are used to infer the results based on the sample to a population.

The test statistic value calculated by the statistical procedure selected is known as the ______.

How well a statistical test can detect and reject a null hypothesis when it is FALSE refers to ______.

How is power calculated?

The term associated with identifying differences between groups that are NOT due to chance is ______.

It is possible to have a statistically significant result that is NOT meaningful.

Statistical significance is also known as the risk of ______.

If we reject the null hypothesis,it suggests that ______.

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

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

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 9: Significantly Significant: What It Means for You and Me

What is the outcome when a null hypothesis has been rejected and the null hypothesis is TRUE?

If you conclude that your findings yield a 50 in 1,000 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

Why does the researcher never really know the TRUE nature of the null hypothesis?

What is the difference between Type I error and Type II error?

What is the definition of the degree of risk you are willing to take that you will reject a null hypothesis when it is actually true?

The concept in a beginning statistics course that causes students the most confusion is ______.

When conducting a study,researchers should try as much as possible to reduce the likelihood of error by removing all competing reasons for any differences or relationships.

The statistical value that is compared with the calculated value is called the ______.

A Type II error is related to a factor such as ______.

If you conclude that your findings yield a 1 in 20 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

Inferential statistics is defined as a set of tools that are used to infer the results based on the sample to a population.

The test statistic value calculated by the statistical procedure selected is known as the ______.

How well a statistical test can detect and reject a null hypothesis when it is FALSE refers to ______.

How is power calculated?

The term associated with identifying differences between groups that are NOT due to chance is ______.

It is possible to have a statistically significant result that is NOT meaningful.

Statistical significance is also known as the risk of ______.

If we reject the null hypothesis,it suggests that ______.

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

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

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