Question 1

Comparing one- and two-tailed tests (with a constant alpha level and sample size), the probability of rejection will be higher for________.

Accepted Answer

A)  the two-tailed test. 
B)  the one-tailed test, if you have correctly predicted the direction of the difference. 
C)  neither, the probability of rejection does not change. 
D)  the test with the most conservative test statistic. 
A)  the two-tailed test. 
B)  the one-tailed test, if you have correctly predicted the direction of the difference. 
C)  neither, the probability of rejection does not change. 
D)  the test with the most conservative test statistic. B

Question 2

The research hypothesis (H 1) 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. A

Question 3

Given the same alpha level, the one-tailed test________.

Accepted Answer

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

Question 4

Republicans average 1.4 children while the state as a whole averages 1.7 children. The Z score computed in this test is 0.78 and the alpha level is 0.05. Therefore, the difference in size of family________.

Accepted Answer

A)  is due to random chance. 
B)  does not reflect the situation of all Republicans. 
C)  is significant. 
D)  All of the answer choices 
A)  is due to random chance. 
B)  does not reflect the situation of all Republicans. 
C)  is significant. 
D)  All of the answer choices

Question 5

A sample of people attending a professional football game averages 13.7 years of formal education while the surrounding community averages 12.1. The difference is significant at the .05 level. What could we conclude?

Accepted Answer

A)  The null hypothesis should be accepted 
B)  The research hypothesis should be rejected. 
C)  The sample is significantly more educated than the community as a whole. 
D)  The alpha level is too low. 
A)  The null hypothesis should be accepted 
B)  The research hypothesis should be rejected. 
C)  The sample is significantly more educated than the community as a whole. 
D)  The alpha level is too low.

Question 6

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 answer choices 
A)  degrees of freedom. 
B)  standard deviation of the sampling distribution. 
C)  t score. 
D)  All of the answer choices

Question 7

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

Accepted Answer

A)  0.00 
B)  0.05 
C)  1.00 
D)  the alpha level. 
A)  0.00 
B)  0.05 
C)  1.00 
D)  the alpha level.

Question 8

In order to conduct a test of hypothesis with means or proportions, the sampling distribution must be________.

Accepted Answer

A)  skewed. 
B)  large. 
C)  bimodal. 
D)  normal. 
A)  skewed. 
B)  large. 
C)  bimodal. 
D)  normal.

Question 9

Which of the following is NOT an assumption required for a test of hypothesis with a single sample mean?

Accepted Answer

A)  A representative sample 
B)  Sample size (N) larger than 1,000 
C)  Normal sampling distribution 
D)  Interval-ratio level of measurement 
A)  A representative sample 
B)  Sample size (N) larger than 1,000 
C)  Normal sampling distribution 
D)  Interval-ratio level of measurement

Question 10

The null hypothesis in the one sample case is a statement of________.

Accepted Answer

A)  agreement with the research hypothesis. 
B)  rejection. 
C)  acceptance. 
D)  no difference. 
A)  agreement with the research hypothesis. 
B)  rejection. 
C)  acceptance. 
D)  no difference.

Question 11

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.

Question 12

A researcher selected a sample of 56 former student leaders from a list of graduates of a large university. She discovered that it had taken an average of 4.97 years for these graduates to finish their degrees, with a standard deviation of 1.23. The average for the entire student body is 4.56 years. Is the difference statistically significant? Follow the five-step model and state all important decisions. Make sure that you interpret the results in terms of the original research question.

Accepted Answer

To determine whether the difference in t

Question 13

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 14

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.

Question 15

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 answer choices 
A)  the sampling distribution is normal. 
B)  random sampling. 
C)  interval-ratio level of measurement. 
D)  All of the answer choices

Question 16

The critical region is________.

Accepted Answer

A)  the area under the curve that contains "non-rare" events 
B)  the area under the curve that includes those values of a sample statistic that will lead to rejection of the null. 
C)  a confidence interval. 
D)  a law that states that the shape of the sampling distribution is normal. 
A)  the area under the curve that contains "non-rare" events 
B)  the area under the curve that includes those values of a sample statistic that will lead to rejection of the null. 
C)  a confidence interval. 
D)  a law that states that the shape of the sampling distribution is normal.

Question 17

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 18

If the critical region begins at Z (critical) =±2.56 and the test statistic is - 2.50, we________.

Accepted Answer

A)  fail to reject the null hypothesis 
B)  reject the null hypothesis. 
C)  cannot make a decision because the test statistic is so close to the critical region. 
D)  change the alpha level. 
A)  fail to reject the null hypothesis 
B)  reject the null hypothesis. 
C)  cannot make a decision because the test statistic is so close to the critical region. 
D)  change the alpha level.

Question 19

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 20

In your own words, define and explain each of the following terms and concepts: 
a. the null hypothesis 
b. Type I (alpha) error 
c. Sampling distribution 
d. One-tailed test

Accepted Answer

The null hypothesis is a statement that

Comparing one- and two-tailed tests (with a constant alpha level and sample size), the probability of rejection will be higher for________.

The research hypothesis (H 1) typically states what the researcher expects to find and________.

Given the same alpha level, the one-tailed test________.

Republicans average 1.4 children while the state as a whole averages 1.7 children. The Z score computed in this test is 0.78 and the alpha level is 0.05. Therefore, the difference in size of family________.

A sample of people attending a professional football game averages 13.7 years of formal education while the surrounding community averages 12.1. The difference is significant at the .05 level. What could we conclude?

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

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

In order to conduct a test of hypothesis with means or proportions, the sampling distribution must be________.

Which of the following is NOT an assumption required for a test of hypothesis with a single sample mean?

The null hypothesis in the one sample case is a statement of________.

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

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

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

The critical region is________.

The t distribution, compared to the Z distribution, is________.

If the critical region begins at Z (critical) =±2.56 and the test statistic is - 2.50, we________.

If the test statistic falls in the critical region, we________.

In your own words, define and explain each of the following terms and concepts: a. the null hypothesis b. Type I (alpha) error c. Sampling distribution d. One-tailed test

Introduction

Basic Descriptive Statistics Tables Percentages Rates and Ratios and Graphs

Measures of Central Tendency

Measures of Variation

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 for Nominal and Ordinal Level Variables

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

Comparing one- and two-tailed tests (with a constant alpha level and sample size), the probability of rejection will be higher for________.

The research hypothesis (H 1) typically states what the researcher expects to find and________.

Given the same alpha level, the one-tailed test________.

Republicans average 1.4 children while the state as a whole averages 1.7 children. The Z score computed in this test is 0.78 and the alpha level is 0.05. Therefore, the difference in size of family________.

A sample of people attending a professional football game averages 13.7 years of formal education while the surrounding community averages 12.1. The difference is significant at the .05 level. What could we conclude?

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

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

In order to conduct a test of hypothesis with means or proportions, the sampling distribution must be________.

Which of the following is NOT an assumption required for a test of hypothesis with a single sample mean?

The null hypothesis in the one sample case is a statement of________.

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

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

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

The critical region is________.

The t distribution, compared to the Z distribution, is________.

If the critical region begins at Z (critical) =±2.56 and the test statistic is - 2.50, we________.

If the test statistic falls in the critical region, we________.

In your own words, define and explain each of the following terms and concepts: a. the null hypothesis b. Type I (alpha) error c. Sampling distribution d. One-tailed test

Introduction

Basic Descriptive Statistics Tables Percentages Rates and Ratios and Graphs

Measures of Central Tendency

Measures of Variation

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 for Nominal and Ordinal Level Variables

Association Between Variables Measured at the Interval Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters