Question 1

Which of the following occurs when you reject 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 2

Compared with a 95% confidence interval,a 99% confidence interval would result in ______.

Accepted Answer

A) a wider range of values in the confidence interval 
B) a smaller range of values in the confidence interval 
C) the same range of values in the confidence interval 
D) a range that cannot be determined in the confidence interval 
A) a wider range of values in the confidence interval 
B) a smaller range of values in the confidence interval 
C) the same range of values in the confidence interval 
D) a range that cannot be determined in the confidence interval

Question 3

How would a researcher determine when statistical significance is important?

Accepted Answer

A researcher would consider statistical

Question 4

Which of the following occurs when you accept the null hypothesis when it is 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 5

Why can you NOT be 100% sure that the difference between two groups is not due to chance?

Accepted Answer

There is always a chance you m

Question 6

What does 1 - $\beta$ 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 7

What Greek letter is associated with Type I error?

Accepted Answer

A) $\alpha$ 
B) $\beta$ 
C) $\Sigma$ 
D) $\Psi$ 
A) $\alpha$ 
B) $\beta$ 
C) $\Sigma$ 
D) $\Psi$

Question 8

If you conclude that your findings yield a 1 in 100 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 9

The critical value is the value that results from the use of a statistical test.

Accepted Answer

A) True 
 B)False

Question 10

A(n)______ difference is due to some systematic influence and NOT due to chance.

Accepted Answer

A) significant 
B) insignificant 
C) null 
D) serendipitous 
A) significant 
B) insignificant 
C) null 
D) serendipitous

Question 11

p < .05 means that there is less than 1 chance in ______ that any differences found were not due to the hypothesized reason.

Accepted Answer

A) 5 
B) 20 
C) 25 
D) 100 
A) 5 
B) 20 
C) 25 
D) 100

Question 12

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 13

A smaller confidence interval would result in ______.

Accepted Answer

A) a wider range of values in the confidence interval 
B) a smaller range of values in the confidence interval 
C) the same range of values in the confidence interval 
D) a range of values that cannot be determined in the confidence interval 
A) a wider range of values in the confidence interval 
B) a smaller range of values in the confidence interval 
C) the same range of values in the confidence interval 
D) a range of values that cannot be determined in the confidence interval

Question 14

How many general steps are there in applying a statistical test to any null hypothesis?.

Accepted Answer

A) 8 
B) 7 
C) 6 
D) 5 
A) 8 
B) 7 
C) 6 
D) 5

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

The most commonly used significance level researchers are willing to take in testing the null hypothesis is ______.

Accepted Answer

A) 0.00 
B) 0.10 
C) 0.50 
D) 0.05 
A) 0.00 
B) 0.10 
C) 0.50 
D) 0.05

Question 17

Can something be significant and NOT meaningful?

Accepted Answer

Yes,especially if yo

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

When you reject the null hypothesis when there is actually no difference between groups,you are making what kind of error?

Accepted Answer

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

Question 20

Inferential statistics is based on the idea that the ______.

Accepted Answer

A) sample is the same as population 
B) sample is different from population 
C) population is smaller than sample 
D) sample is representative of the population 
A) sample is the same as population 
B) sample is different from population 
C) population is smaller than sample 
D) sample is representative of the population

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

Compared with a 95% confidence interval,a 99% confidence interval would result in ______.

How would a researcher determine when statistical significance is important?

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

Why can you NOT be 100% sure that the difference between two groups is not due to chance?

What does 1 - $\beta$ represent?

What Greek letter is associated with Type I error?

If you conclude that your findings yield a 1 in 100 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

The critical value is the value that results from the use of a statistical test.

A(n)______ difference is due to some systematic influence and NOT due to chance.

p < .05 means that there is less than 1 chance in ______ that any differences found were not due to the hypothesized reason.

A smaller confidence interval would result in ______.

How many general steps are there in applying a statistical test to any null hypothesis?.

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

The most commonly used significance level researchers are willing to take in testing the null hypothesis is ______.

Can something be significant and NOT meaningful?

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

When you reject the null hypothesis when there is actually no difference between groups,you are making what kind of error?

Inferential statistics is based on the idea that the ______.

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

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

Compared with a 95% confidence interval,a 99% confidence interval would result in ______.

How would a researcher determine when statistical significance is important?

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

Why can you NOT be 100% sure that the difference between two groups is not due to chance?

What does 1 - β\betaβ represent?

What Greek letter is associated with Type I error?

If you conclude that your findings yield a 1 in 100 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

The critical value is the value that results from the use of a statistical test.

A(n)______ difference is due to some systematic influence and NOT due to chance.

p < .05 means that there is less than 1 chance in ______ that any differences found were not due to the hypothesized reason.

A smaller confidence interval would result in ______.

How many general steps are there in applying a statistical test to any null hypothesis?.

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

The most commonly used significance level researchers are willing to take in testing the null hypothesis is ______.

Can something be significant and NOT meaningful?

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

When you reject the null hypothesis when there is actually no difference between groups,you are making what kind of error?

Inferential statistics is based on the idea that the ______.

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

What does 1 - $\beta$ represent?

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