Question 1

What is the definition for significance level?

Accepted Answer

The significance level is the degree of risk associated with not being 100% confident that what you observe in an experiment is due to what is being tested.

Question 2

What does 1 - ? represent?

Accepted Answer

A)  Alpha level 
B)  Type I error 
C)  Type II error 
D)  Power 
A)  Alpha level 
B)  Type I error 
C)  Type II error 
D)  Power D

Question 3

The level of chance you are willing to take is called the?

Accepted Answer

A)  Beta level 
B)  Power level 
C)  Significance level 
D)  Chance level 
A)  Beta level 
B)  Power level 
C)  Significance level 
D)  Chance level C

Question 4

The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is known as a:

Accepted Answer

A)  Significance level 
B)  Type III error 
C)  Type II error 
D)  Power 
A)  Significance level 
B)  Type III error 
C)  Type II error 
D)  Power

Question 5

Which of the following occurs when you accept the null hypothesis when it is really false?

Accepted Answer

A)  Type I error 
B)  Correct decision 
C)  Type II error 
D)  Power 
A)  Type I error 
B)  Correct decision 
C)  Type II error 
D)  Power

Question 6

What are the Greek letters associated with Type I and Type II error?

Accepted Answer

The answer of What are the Greek letters associated with...

Question 7

If you want to examine the difference between the average scores of three unrelated groups, which of the following statistical techniques should you select?

Accepted Answer

A)  Regression 
B)  t test for dependent samples 
C)  Analysis of variance 
D)  t test for independent samples 
A)  Regression 
B)  t test for dependent samples 
C)  Analysis of variance 
D)  t test for independent samples

Question 8

If you want to examine the difference between the average scores of two unrelated groups, which of the following statistical techniques should you select?

Accepted Answer

A)  Regression 
B)  t test for dependent samples 
C)  Analysis of variance 
D)  t test for independent samples 
A)  Regression 
B)  t test for dependent samples 
C)  Analysis of variance 
D)  t test for independent samples

Question 9

Under the normal curve, if the obtained value falls to the left of the critical value, under what percent of the normal curve did it fall?

Accepted Answer

Under the normal curve, if the

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

If you conclude that your find

Question 11

Under the normal curve, if the obtained value falls to the right of the critical value, under what percent of the normal curve did it fall?

Accepted Answer

Under the normal curve, if the

Question 12

What is the formula for calculating power?

Accepted Answer

The formul

Question 13

An error that cannot be controlled is called a?

Accepted Answer

A)  Type I error 
B)  Chance 
C)  Type II error 
D)  Probability 
A)  Type I error 
B)  Chance 
C)  Type II error 
D)  Probability

Question 14

Which of the following occurs when you reject the null hypothesis when it is really true?

Accepted Answer

A)  Type I error 
B)  Correct decision 
C)  Type II error 
D)  Power 
A)  Type I error 
B)  Correct decision 
C)  Type II error 
D)  Power

Question 15

If the obtained value is greater than the critical value, what should you do?

Accepted Answer

A)  Reject the null hypothesis 
B)  Accept the null hypothesis 
C)  Set a higher p value 
D)  Increase your sample 
A)  Reject the null hypothesis 
B)  Accept the null hypothesis 
C)  Set a higher p value 
D)  Increase your sample

Question 16

List the steps to take when applying a statistical test to the null hypothesis.

Accepted Answer

The steps could be stated as follows:
-A

Question 17

What is the difference between the obtained value and the critical value?

Accepted Answer

The obtained value is the value produced

Question 18

Which of the following occurs when you accept the null hypothesis when it is really true?

Accepted Answer

A)  Type I error 
B)  Correct decision 
C)  Type II error 
D)  Power 
A)  Type I error 
B)  Correct decision 
C)  Type II error 
D)  Power

Question 19

Which of the following is the term associated with identifying differences between groups that are not due to chance?

Accepted Answer

A)  Probability 
B)  Meaningfulness 
C)  Significance 
D)  Statistics 
A)  Probability 
B)  Meaningfulness 
C)  Significance 
D)  Statistics

Question 20

In order to determine whether or not you will reject the null hypothesis, what must the test statistic be compared against?

Accepted Answer

A)  Critical value 
B)  Significance level 
C)  Obtained value 
D)  p value 
A)  Critical value 
B)  Significance level 
C)  Obtained value 
D)  p value

What is the definition for significance level?

What does 1 - ? represent?

The level of chance you are willing to take is called the?

The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is known as a:

Which of the following occurs when you accept the null hypothesis when it is really false?

What are the Greek letters associated with Type I and Type II error?

If you want to examine the difference between the average scores of three unrelated groups, which of the following statistical techniques should you select?

If you want to examine the difference between the average scores of two unrelated groups, which of the following statistical techniques should you select?

Under the normal curve, if the obtained value falls to the left of the critical value, under what percent of the normal curve did it fall?

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?

Under the normal curve, if the obtained value falls to the right of the critical value, under what percent of the normal curve did it fall?

What is the formula for calculating power?

An error that cannot be controlled is called a?

Which of the following occurs when you reject the null hypothesis when it is really true?

If the obtained value is greater than the critical value, what should you do?

List the steps to take when applying a statistical test to the null hypothesis.

What is the difference between the obtained value and the critical value?

Which of the following occurs when you accept the null hypothesis when it is really true?

Which of the following is the term associated with identifying differences between groups that are not due to chance?

In order to determine whether or not you will reject the null hypothesis, what must the test statistic be compared against?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

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

What is the definition for significance level?

What does 1 - ? represent?

The level of chance you are willing to take is called the?

The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is known as a:

Which of the following occurs when you accept the null hypothesis when it is really false?

What are the Greek letters associated with Type I and Type II error?

If you want to examine the difference between the average scores of three unrelated groups, which of the following statistical techniques should you select?

If you want to examine the difference between the average scores of two unrelated groups, which of the following statistical techniques should you select?

Under the normal curve, if the obtained value falls to the left of the critical value, under what percent of the normal curve did it fall?

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?

Under the normal curve, if the obtained value falls to the right of the critical value, under what percent of the normal curve did it fall?

What is the formula for calculating power?

An error that cannot be controlled is called a?

Which of the following occurs when you reject the null hypothesis when it is really true?

If the obtained value is greater than the critical value, what should you do?

List the steps to take when applying a statistical test to the null hypothesis.

What is the difference between the obtained value and the critical value?

Which of the following occurs when you accept the null hypothesis when it is really true?

Which of the following is the term associated with identifying differences between groups that are not due to chance?

In order to determine whether or not you will reject the null hypothesis, what must the test statistic be compared against?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

Filters