Question 1

Like estimation procedures,hypothesis testing involves the risk that the sample

Accepted Answer

A) may not be representative. 
B) may not be biased. 
C) may be too large. 
D) may not be significant. 
A) may not be representative. 
B) may not be biased. 
C) may be too large. 
D) may not be significant. A

Question 2

The records of the state Division of Motor Vehicles reveals that 23% of all drivers have been ticketed at least once.Twenty-five percent of a random sample of older drivers in the state have gotten at least one ticket.This difference has been tested and the researcher has failed to reject the null hypothesis.What can be concluded?

Accepted Answer

A) Older drivers are better drivers. 
B) Older drivers are worse drivers. 
C) There is no significant difference between older drivers and drivers in general in terms of number of tickets. 
D) Older drivers are significantly different from drivers in general. 
A) Older drivers are better drivers. 
B) Older drivers are worse drivers. 
C) There is no significant difference between older drivers and drivers in general in terms of number of tickets. 
D) Older drivers are significantly different from drivers in general. C

Question 3

In tests of significance,if the test statistic falls in the critical region,we may conclude that

Accepted Answer

A) the population distribution is normal. 
B) the null hypothesis can be rejected. 
C) the research hypothesis is true. 
D) our sample size was too small. 
A) the population distribution is normal. 
B) the null hypothesis can be rejected. 
C) the research hypothesis is true. 
D) our sample size was too small. B

Question 4

If the test statistic does not fall in the critical region,we

Accepted Answer

A) reject the null hypothesis. 
B) fail to reject the null hypothesis. 
C) lower the alpha level and conduct a new test. 
D) commit a Type I error. 
A) reject the null hypothesis. 
B) fail to reject the null hypothesis. 
C) lower the alpha level and conduct a new test. 
D) commit a Type I error.

Question 5

Given the same alpha level,the one-tailed test

Accepted Answer

A) makes it harder to reject the H0. 
B) does not affect the probability of rejecting the H0. 
C) makes it more likely that H0 will be rejected. 
D) is less dependable than the two-tailed test. 
A) makes it harder to reject the H0. 
B) does not affect the probability of rejecting the H0. 
C) makes it more likely that H0 will be rejected. 
D) is less dependable than the two-tailed test.

Question 6

In order to reject the null hypothesis when using the t distribution and small samples,we will

Accepted Answer

A) need a smaller test statistic as compared to larger samples. 
B) need a larger test statistic as compared to larger samples. 
C) always use one-tailed tests. 
D) set alpha very low. 
A) need a smaller test statistic as compared to larger samples. 
B) need a larger test statistic as compared to larger samples. 
C) always use one-tailed tests. 
D) set alpha very low.

Question 7

Given that the null hypothesis is actually true,the probability of Type II error is

Accepted Answer

A) .00. 
B) .05. 
C) 1.00. 
D) the alpha level. 
A) .00. 
B) .05. 
C) 1.00. 
D) the alpha level.

Question 8

All tests of hypothesis are based on the assumption that

Accepted Answer

A) the null hypothesis is false and should be rejected. 
B) the observed difference is important. 
C) the null hypothesis is true. 
D) Type I errors are more serious than Type II errors. 
A) the null hypothesis is false and should be rejected. 
B) the observed difference is important. 
C) the null hypothesis is true. 
D) Type I errors are more serious than Type II errors.

Question 9

To conduct a test of hypothesis with a single sample mean,we must assume

Accepted Answer

A) the sampling distribution is normal. 
B) random sampling. 
C) interval-ratio level of measurement. 
D) all of the above 
A) the sampling distribution is normal. 
B) random sampling. 
C) interval-ratio level of measurement. 
D) all of the above

Question 10

Which of the following combinations would result in a Type II error? The null hypothesis is actually ____ and our decision in Step 5 is to ____ the null hypothesis.

Accepted Answer

A) false,fail to reject 
B) false,reject 
C) true,fail to reject 
D) true,reject 
A) false,fail to reject 
B) false,reject 
C) true,fail to reject 
D) true,reject

Question 11

Which of the following are we unlikely to know when conducting a test of hypothesis in the one sample case?

Accepted Answer

A) the sample standard deviation 
B) the mean of the sample 
C) the standard deviation of the population 
D) the alpha level 
A) the sample standard deviation 
B) the mean of the sample 
C) the standard deviation of the population 
D) the alpha level

Question 12

If we reject a null hypothesis which is in fact true,we

Accepted Answer

A) have made a correct decision. 
B) have made a Type I error. 
C) have made a Type II error. 
D) should have used a one-tailed test. 
A) have made a correct decision. 
B) have made a Type I error. 
C) have made a Type II error. 
D) should have used a one-tailed test.

Question 13

The research hypothesis (H1)typically states what the researcher expects to find and

Accepted Answer

A) contradicts the null hypothesis. 
B) verifies on the null hypothesis. 
C) modifies the null hypothesis. 
D) is unrelated to the null hypothesis. 
A) contradicts the null hypothesis. 
B) verifies on the null hypothesis. 
C) modifies the null hypothesis. 
D) is unrelated to the null hypothesis.

Question 14

If the test statistic falls in the critical region,we

Accepted Answer

A) reject the null and conclude that the research hypothesis is true. 
B) reject the null and conclude that there is strong -- although indirect -- support for the research hypothesis. 
C) accept the null. 
D) fail to reject the null. 
A) reject the null and conclude that the research hypothesis is true. 
B) reject the null and conclude that there is strong -- although indirect -- support for the research hypothesis. 
C) accept the null. 
D) fail to reject the null.

Question 15

In a t test of differences between means,increasing sample size will affect

Accepted Answer

A) degrees of freedom. 
B) standard deviation of the sampling distribution. 
C) t score. 
D) all of the above 
A) degrees of freedom. 
B) standard deviation of the sampling distribution. 
C) t score. 
D) all of the above

Question 16

From a random sample of size 200 drawn from a local community,120 respondents identify themselves as Democrats.For the community as a whole,75% of the residents classify themselves as Democrats.In this research situation

Accepted Answer

A) Ps is .60 and Pu is .50. 
B) Pu  is .75 and Ps is .60. 
C) Pu is .75 and Ps is 120. 
D) the t test is called for. 
A) Ps is .60 and Pu is .50. 
B) Pu  is .75 and Ps is .60. 
C) Pu is .75 and Ps is 120. 
D) the t test is called for.

Question 17

A one-tailed test of significance could be used whenever

Accepted Answer

A) the researcher can predict a direction for the difference. 
B) the researcher feels like it. 
C) the null hypothesis is thought to be true. 
D) the alpha level exceeds 0.10. 
A) the researcher can predict a direction for the difference. 
B) the researcher feels like it. 
C) the null hypothesis is thought to be true. 
D) the alpha level exceeds 0.10.

Question 18

The t distribution,compared to the Z distribution,is

Accepted Answer

A) more skewed. 
B) more peaked for small samples but increasingly like the Z distribution as N increases. 
C) bimodal. 
D) flatter for small sample sizes but increasingly like the Z distribution as N increases. 
A) more skewed. 
B) more peaked for small samples but increasingly like the Z distribution as N increases. 
C) bimodal. 
D) flatter for small sample sizes but increasingly like the Z distribution as N increases.

Question 19

Under what condition might we use proportions rather than means as the test statistic?

Accepted Answer

A) when sample size is very small 
B) when sample size is very large 
C) when the variable of interest is only interval-ratio in level of measurement 
D) when the variable of interest is only nominal in level of measurement 
A) when sample size is very small 
B) when sample size is very large 
C) when the variable of interest is only interval-ratio in level of measurement 
D) when the variable of interest is only nominal in level of measurement

Question 20

An alpha of 0.01 means that a decision to ____ the null hypothesis has a ____ in 100 chance of being incorrect

Accepted Answer

A) accept,1 
B) fail to reject,1 
C) reject,1 
D) reject,100 
A) accept,1 
B) fail to reject,1 
C) reject,1 
D) reject,100

Like estimation procedures,hypothesis testing involves the risk that the sample

In tests of significance,if the test statistic falls in the critical region,we may conclude that

If the test statistic does not fall in the critical region,we

Given the same alpha level,the one-tailed test

In order to reject the null hypothesis when using the t distribution and small samples,we will

Given that the null hypothesis is actually true,the probability of Type II error is

All tests of hypothesis are based on the assumption that

To conduct a test of hypothesis with a single sample mean,we must assume

Which of the following combinations would result in a Type II error? The null hypothesis is actually and our decision in Step 5 is to the null hypothesis.

Which of the following are we unlikely to know when conducting a test of hypothesis in the one sample case?

If we reject a null hypothesis which is in fact true,we

The research hypothesis (H₁)typically states what the researcher expects to find and

If the test statistic falls in the critical region,we

In a t test of differences between means,increasing sample size will affect

From a random sample of size 200 drawn from a local community,120 respondents identify themselves as Democrats.For the community as a whole,75% of the residents classify themselves as Democrats.In this research situation

A one-tailed test of significance could be used whenever

The t distribution,compared to the Z distribution,is

Under what condition might we use proportions rather than means as the test statistic?

An alpha of 0.01 means that a decision to the null hypothesis has a in 100 chance of being incorrect

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 8: Hypothesis Testing I: the One-Sample Case

Like estimation procedures,hypothesis testing involves the risk that the sample

In tests of significance,if the test statistic falls in the critical region,we may conclude that

If the test statistic does not fall in the critical region,we

Given the same alpha level,the one-tailed test

In order to reject the null hypothesis when using the t distribution and small samples,we will

Given that the null hypothesis is actually true,the probability of Type II error is

All tests of hypothesis are based on the assumption that

To conduct a test of hypothesis with a single sample mean,we must assume

Which of the following combinations would result in a Type II error? The null hypothesis is actually ____ and our decision in Step 5 is to ____ the null hypothesis.

Which of the following are we unlikely to know when conducting a test of hypothesis in the one sample case?

If we reject a null hypothesis which is in fact true,we

The research hypothesis (H1)typically states what the researcher expects to find and

If the test statistic falls in the critical region,we

In a t test of differences between means,increasing sample size will affect

From a random sample of size 200 drawn from a local community,120 respondents identify themselves as Democrats.For the community as a whole,75% of the residents classify themselves as Democrats.In this research situation

A one-tailed test of significance could be used whenever

The t distribution,compared to the Z distribution,is

Under what condition might we use proportions rather than means as the test statistic?

An alpha of 0.01 means that a decision to ____ the null hypothesis has a ____ in 100 chance of being incorrect

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Which of the following combinations would result in a Type II error? The null hypothesis is actually and our decision in Step 5 is to the null hypothesis.

The research hypothesis (H₁)typically states what the researcher expects to find and

An alpha of 0.01 means that a decision to the null hypothesis has a in 100 chance of being incorrect