Question 1

The level of chance or risk that you were willing to take is expressed as _______.

Accepted Answer

A) a significance level 
B) power 
C) 1 − power 
D) 1 + power 
A) a significance level 
B) power 
C) 1 − power 
D) 1 + power A

Question 2

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 B

Question 3

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) dependent-samples t-test 
C) analysis of variance 
D) independent-samples t-test 
A) regression 
B) dependent-samples t-test 
C) analysis of variance 
D) independent-samples t-test D

Question 4

When reporting statistical significance, how is this usually represented?

Accepted Answer

A) p = .05 B) p > .05 C) p < .05 D) p = .01 A) p = .05 B) p > .05 C) p < .05 D) p = .01

Question 5

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

Accepted Answer

Type I error is the probabilit

Question 6

The risk set by the researcher for rejecting a null hypothesis when it is true is called the _______.

Accepted Answer

A) experimental error 
B) error significance 
C) significance level 
D) error level 
A) experimental error 
B) error significance 
C) significance level 
D) error level

Question 7

What happens when a null hypothesis has been accepted and the null hypothesis is really false?

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 8

What Greek letter is associated with Type II error?

Accepted Answer

A) ? 
B) ? 
C) ? 
D)  $$\Psi$$ 
A) ? 
B) ? 
C) ? 
D)  $$\Psi$$

Question 9

What does 1 − ẞ 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

Question 10

Imagine the table that illustrates the relationship between the nature of the null hypothesis and your action as a researcher (which includes potential Type I and Type II errors), and apply the four possible outcomes to situations of mandated drug testing in elite athletics.
One: Describe the statistical equivalent to when a famous baseball player's blood test was negative for performance-enhancing drugs when there truly were no performance-enhancing drugs present in his blood.
Two: Describe the statistical equivalent to when a world-class sprinter's blood test was positive for performance-enhancing drugs when there truly were no performance-enhancing drugs present in her blood.
Three: Describe the statistical equivalent to when a famous baseball player's blood test was negative for performance-enhancing drugs when there truly were performance-enhancing drugs present in his blood.
Four: Describe the statistical equivalent to when a world-class sprinter's blood test was positive for performance-enhancing drugs when there truly were performance-enhancing drugs present in her blood.

Accepted Answer

Part 1: Bingo! Accurate! The null was ac

Question 11

When you reject the null hypothesis when there is actually no difference between groups or relationships between variables, you are making a _______.

Accepted Answer

A) Type I error 
B) Type II error 
C) Type III error 
D) error in power 
A) Type I error 
B) Type II error 
C) Type III error 
D) error in power

Question 12

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 13

What Greek letter is associated with Type I error?

Accepted Answer

A) ? 
B) ? 
C) ? 
D)  $$\Psi$$ 
A) ? 
B) ? 
C) ? 
D)  $$\Psi$$

Question 14

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 15

The first step in testing a hypothesis is to ______.

Accepted Answer

A) set the level of risk associated with the null hypothesis 
B) provide a statement of the null hypothesis 
C) select the appropriate test statistic 
D) compute the test statistic value 
A) set the level of risk associated with the null hypothesis 
B) provide a statement of the null hypothesis 
C) select the appropriate test statistic 
D) compute the test statistic value

Question 16

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 high p value 
D) increase your sample 
A) reject the null hypothesis 
B) accept the null hypothesis 
C) set a high p value 
D) increase your sample

Question 17

Power is equal to 1 − β.

Accepted Answer

A) True 
 B)False

Question 18

The _______ is tested, and the results are generalized to the _______.

Accepted Answer

A) sample; larger population 
B) sample; smaller population 
C) population; smaller sample 
D) population; larger sample 
A) sample; larger population 
B) sample; smaller population 
C) population; smaller sample 
D) population; larger sample

Question 19

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

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

Question 20

When making a judgment in statistics, there is always some possibility of error.

Accepted Answer

A) True 
 B)False

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

The level of chance or risk that you were willing to take is expressed as _______.

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

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

When reporting statistical significance, how is this usually represented?

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

The risk set by the researcher for rejecting a null hypothesis when it is true is called the _______.

What happens when a null hypothesis has been accepted and the null hypothesis is really false?

What Greek letter is associated with Type II error?

What does 1 − ẞ represent?

When you reject the null hypothesis when there is actually no difference between groups or relationships between variables, you are making a _______.

Statistical significance is also known as the risk of _______.

What Greek letter is associated with Type I error?

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

The first step in testing a hypothesis is to ______.

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

Power is equal to 1 − β.

The _______ is tested, and the results are generalized to the _______.

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

When making a judgment in statistics, there is always some possibility of error.

Statistics or Sadistics Its 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: The One Sample Z-Test

Tea for Two: Tests Between the Means of Different Groups

Tea 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 Variancea Brief Introduction

Cousins or Just Good Friends Testing Relationships Using Correlation Coefficient

Predicting Wholl Win the Super Bowl: Using Linear Regression

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

Some Other Important Statistical Procedures You Should Know About

Data Mining: An Introduction to Getting the Most Out of Your Big Data

A Statistical Software Sampler

The Ten or More Best and Most Fun Internet Sites for Statistics Stuff

The Ten Commandments of Data Collection

Filters

The _ is tested, and the results are generalized to the _.