Question 1

A confidence interval is the best estimate of the range of a population value given the sample value.

Accepted Answer

A) True 
 B)False

Question 2

When you accept the null hypothesis when the null hypothesis is really false, you are making a ______.

Accepted Answer

A) Type I error 
B) Type II error 
C) Type III error 
D) Power 
A) Type I error 
B) Type II error 
C) Type III error 
D) Power

Question 3

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

Question 4

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

Accepted Answer

A) .00 
B) .10 
C) .50 
D) .05 
A) .00 
B) .10 
C) .50 
D) .05

Question 5

After you compare the obtained value with the critical value, you ______.

Accepted Answer

A) provide a statement of the null hypothesis 
B) set the level of significance 
C) compute the test statistic value 
D) reject the null hypothesis if the obtained value is more extreme than the critical value 
A) provide a statement of the null hypothesis 
B) set the level of significance 
C) compute the test statistic value 
D) reject the null hypothesis if the obtained value is more extreme than the critical value

Question 6

Why wouldn't a researcher set the confidence level at .0001, since it's better than .05 and even better than .01?

Accepted Answer

A researcher would not set the Type I le

Question 7

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 8

Power is equal to ______.

Accepted Answer

A) the value of the Type II error subtracted from 1 
B) the value of the Type I error subtracted from 1 
C) one subtracted from the value of the Type II error 
D) one subtracted from the value of the Type I error 
A) the value of the Type II error subtracted from 1 
B) the value of the Type I error subtracted from 1 
C) one subtracted from the value of the Type II error 
D) one subtracted from the value of the Type I error

Question 9

After you select the appropriate test statistic, you ______.

Accepted Answer

A) provide a statement of the null hypothesis 
B) set the level of significance 
C) compute the test statistic value 
D) determine the critical value needed for rejection of the null hypothesis 
A) provide a statement of the null hypothesis 
B) set the level of significance 
C) compute the test statistic value 
D) determine the critical value needed for rejection of the null hypothesis

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) .01 
B) .05 
C) .10 
D) .20 
A) .01 
B) .05 
C) .10 
D) .20

Question 11

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 12

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 13

The final step in hypothesis testing is to ______.

Accepted Answer

A) provide a statement of the null hypothesis 
B) compute the test statistic value 
C) determine the critical value 
D) compare the obtained value with the critical value and make a final determination 
A) provide a statement of the null hypothesis 
B) compute the test statistic value 
C) determine the critical value 
D) compare the obtained value with the critical value and make a final determination

Question 14

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) .01 
B) .05 
C) .10 
D) .20 
A) .01 
B) .05 
C) .10 
D) .20

Question 15

What happens 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 16

There is always the possibility of error in statistics because the _______ is not directly tested.

Accepted Answer

A) population 
B) sample 
C) significance 
D) probability 
A) population 
B) sample 
C) significance 
D) probability

Question 17

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 18

Probably no concept in the beginning statistics causes students more confusion than ______.

Accepted Answer

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

Question 19

As 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 20

The statistical value that is compared with the critical 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

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

A confidence interval is the best estimate of the range of a population value given the sample value.

When you accept the null hypothesis when the null hypothesis is really false, you are making a ______.

Inferential statistics is based on the idea that the ______.

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

After you compare the obtained value with the critical value, you ______.

Why wouldn't a researcher set the confidence level at .0001, since it's better than .05 and even better than .01?

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

Power is equal to ______.

After you select the appropriate test statistic, you ______.

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?

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

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

The final step in hypothesis testing is to ______.

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?

What happens when a null hypothesis has been rejected and the null hypothesis is True?

There is always the possibility of error in statistics because the _______ is not directly tested.

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.

Probably no concept in the beginning statistics causes students more confusion than ______.

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

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

Statistics or Sadistics Its up to You

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Vive La Différence: Understanding Variability

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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

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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

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