Question 1

The null hypothesis is retained until there is sufficient statistical support for accepting the research hypothesis.

Accepted Answer

A) True 
 B)False  True

Question 2

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once.
-two nominal variables are displayed in a contingency table

Accepted Answer

A)  ANOVA 
B)  chi-sqare 
C)  t-test 
A)  ANOVA 
B)  chi-sqare 
C)  t-test B

Question 3

When a researcher uses an ANOVA, you can assume that:

Accepted Answer

A)  the independent and dependent variables are both nominal level data. 
B)  the independent and dependent variables are both continuous level data. 
C)  the independent variable is nominal level data and the dependent variable is continuous level data. 
D)  the independent variable is continuous level data and the dependent variable is nominal level data. 
E)  Any of above. 
A)  the independent and dependent variables are both nominal level data. 
B)  the independent and dependent variables are both continuous level data. 
C)  the independent variable is nominal level data and the dependent variable is continuous level data. 
D)  the independent variable is continuous level data and the dependent variable is nominal level data. 
E)  Any of above. C

Question 4

Explain the difference between random selection of participants and random assignment of participants.

Accepted Answer

Random selection of participants and ran

Question 5

Describe the differences between a two-tailed and one-tailed t-test.

Accepted Answer

A two-tailed t-test is used to determine

Question 6

Chi-squares are limited to testing differences between two levels of any variable.

Accepted Answer

A) True 
 B)False

Question 7

A chi-square can indicate if significant differences are found, but can not determine where the significance differences occurred.

Accepted Answer

A) True 
 B)False

Question 8

Both t-test and χ² compute a statistic for two groups of scores. Explain how the two statistical tests are different.

Accepted Answer

The t-test and χ² test are both statisti

Question 9

If the test of difference is significant, the research hypothesis is accepted.

Accepted Answer

A) True 
 B)False

Question 10

Degrees of freedom:

Accepted Answer

A)  are used to assess the normality of the data. 
B)  are a way in which researchers account for variation due to error. 
C)  are the mistakes the researcher admits to in conducting the experiment. 
D)  the number of participants who did not respond. 
E)  are the same for all statistical tests. 
A)  are used to assess the normality of the data. 
B)  are a way in which researchers account for variation due to error. 
C)  are the mistakes the researcher admits to in conducting the experiment. 
D)  the number of participants who did not respond. 
E)  are the same for all statistical tests.

Question 11

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once.
-Stststical test for determining if differences among categories are statisically significent.

Accepted Answer

A)  ANOVA 
B)  chi-sqare 
C)  t-test 
A)  ANOVA 
B)  chi-sqare 
C)  t-test

Question 12

The t-statistic is found by simply computing the means and standard deviations for both groups.

Accepted Answer

A) True 
 B)False

Question 13

Describe the difference between a main effect and an interaction effect. Use examples in your description.

Accepted Answer

A main effect refers to the overall impa

Question 14

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once.
-represented be ?²

Accepted Answer

A)  ANOVA 
B)  chi-sqare 
C)  t-test 
A)  ANOVA 
B)  chi-sqare 
C)  t-test

Question 15

It is possible that the difference the researcher predicts in the hypothesis is not the difference that will exist in the data.

Accepted Answer

A) True 
 B)False

Question 16

The t-test is:

Accepted Answer

A)  restricted to one independent variable. 
B)  restricted to one dependent variable. 
C)  restricted to two groupings or categories of the independent variable. 
D)  can test independent or dependent groups. 
E)  all of the above. 
A)  restricted to one independent variable. 
B)  restricted to one dependent variable. 
C)  restricted to two groupings or categories of the independent variable. 
D)  can test independent or dependent groups. 
E)  all of the above.

Question 17

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once.
-can test for an interaction effect

Accepted Answer

A)  ANOVA 
B)  chi-sqare 
C)  t-test 
A)  ANOVA 
B)  chi-sqare 
C)  t-test

Question 18

Researchers use ANOVA when they are interested in testing for the variance that exists within groupings of the independent variable.

Accepted Answer

A) True 
 B)False

Question 19

In interpreting an ANOVA, the main effects are ignored if a significant interaction effect occurs.

Accepted Answer

A) True 
 B)False

Question 20

The inference that a significant result for a sample will also hold True for the population is based on the principle of probability.

Accepted Answer

A) True 
 B)False

The null hypothesis is retained until there is sufficient statistical support for accepting the research hypothesis.

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -two nominal variables are displayed in a contingency table

When a researcher uses an ANOVA, you can assume that:

Explain the difference between random selection of participants and random assignment of participants.

Describe the differences between a two-tailed and one-tailed t-test.

Chi-squares are limited to testing differences between two levels of any variable.

A chi-square can indicate if significant differences are found, but can not determine where the significance differences occurred.

Both t-test and χ² compute a statistic for two groups of scores. Explain how the two statistical tests are different.

If the test of difference is significant, the research hypothesis is accepted.

Degrees of freedom:

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -Stststical test for determining if differences among categories are statisically significent.

The t-statistic is found by simply computing the means and standard deviations for both groups.

Describe the difference between a main effect and an interaction effect. Use examples in your description.

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -represented be ?²

It is possible that the difference the researcher predicts in the hypothesis is not the difference that will exist in the data.

The t-test is:

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -can test for an interaction effect

Researchers use ANOVA when they are interested in testing for the variance that exists within groupings of the independent variable.

In interpreting an ANOVA, the main effects are ignored if a significant interaction effect occurs.

The inference that a significant result for a sample will also hold True for the population is based on the principle of probability.

Introduction to Communication Research

The Research Process: Getting Started

Research Ethics

Introduction to Quantitative Research

Measurement

Populations, Samples, and Sample Size

Quantitative Research Designs

Surveys and Questionnaires

Descriptive Statistics, Significance Levels, and Hypothesis Testing

Testing for Relationships

Quantitative Analysis of Text

Reading and Writing the Quantitative Research Report

Introduction to Qualitative Research

Designing Qualitative Research

Qualitative Methods of Data Collection

Analyzing Qualitative Data

Reading and Writing the Qualitative Research Report

Filters

Exam 10: Testing for Differences

The null hypothesis is retained until there is sufficient statistical support for accepting the research hypothesis.

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -two nominal variables are displayed in a contingency table

When a researcher uses an ANOVA, you can assume that:

Explain the difference between random selection of participants and random assignment of participants.

Describe the differences between a two-tailed and one-tailed t-test.

Chi-squares are limited to testing differences between two levels of any variable.

A chi-square can indicate if significant differences are found, but can not determine where the significance differences occurred.

Both t-test and χ² compute a statistic for two groups of scores. Explain how the two statistical tests are different.

If the test of difference is significant, the research hypothesis is accepted.

Degrees of freedom:

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -Stststical test for determining if differences among categories are statisically significent.

The t-statistic is found by simply computing the means and standard deviations for both groups.

Describe the difference between a main effect and an interaction effect. Use examples in your description.

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -represented be ?²

It is possible that the difference the researcher predicts in the hypothesis is not the difference that will exist in the data.

The t-test is:

Match the following terms and descriptions of statistical tests of differences. Some responses can be used more than once. -can test for an interaction effect

Researchers use ANOVA when they are interested in testing for the variance that exists within groupings of the independent variable.

In interpreting an ANOVA, the main effects are ignored if a significant interaction effect occurs.

The inference that a significant result for a sample will also hold True for the population is based on the principle of probability.

Introduction to Communication Research

The Research Process: Getting Started

Research Ethics

Introduction to Quantitative Research

Measurement

Populations, Samples, and Sample Size

Quantitative Research Designs

Surveys and Questionnaires

Descriptive Statistics, Significance Levels, and Hypothesis Testing

Testing for Relationships

Quantitative Analysis of Text

Reading and Writing the Quantitative Research Report

Introduction to Qualitative Research

Designing Qualitative Research

Qualitative Methods of Data Collection

Analyzing Qualitative Data

Reading and Writing the Qualitative Research Report

Filters