Is there a relationship between the gender of students and time spent watching TV drama per day before midterm?

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

HOMEWORK #3 [20 points]

Name:

Research Scenario:

Assume you have managed to administer a survey questionnaire regarding media consumption behavior and class performance of college students and have collected a sample of 66 randomly selected students at UM. There are five variables in the data set:

1) Case ID; (CaseID)

2) Gender (1=female, 2=male); (Gender)

3) Time spent on watching TV drama per day before midterm (in hours); (TVDrama_before)

4) Time spent on watching TV drama per day after midterm (in hours); (TVDrama_after)

5) Test score for statistics; (test_score)

Instructions: Use the SPSS dataset on Blackboard (under Assignments) [HW3.sav] to run APPROPRIATE tests to answer the following questions.

Part A. [6 points]

Based on the research questions below, formulate a null hypothesis (H0) and an alternative hypothesis (Ha) for EACH RQ. Note that we will be conducting two-tailed tests, so the alternative hypotheses should be two-sided and non-directional.

RQ1: Is there a relationship between the gender of students and time spent watching TV drama per day before midterm?

H0:

Ha:

There is no relationship between gender of students and time spent watching TV drama per day in terms of before midterms

There is a significant relationship between gender of students and time spent watching TV drama per day in terms of before midterms

For RQ2: Do students spend different amounts of time watching TV drama per day before and after midterm?

H0:

there is no diffrence between students watching TV drama per day before and after midterms

u=0

Ha:

there is a significant diffrence between students watching TV drama per day before and after midterms

u is not equal to 0

For RQ3: Is the mean of test score for statistics significantly different from 27?

H0:

H1:

there is no (effect) diffrence between the mean of test score for statistics from 27

there is a significant (effect) diffrence between the mean of test score for statistics from 27

Part B. [9 points]

Run three t-tests separately to answer each RQ. For each RQ:

1) Select the appropriate type of test and run the analysis in SPSS

2) Paste a screenshot of the SPSS outputs that contain the key information needed

3) Report your conclusion

For RQ1:

1) Type of t-test used:

independent samples t-test

2) SPSS outputs (paste the tables or screenshot from SPSS output file)

3) Report your conclusion

For RQ2:

1) Type of t-test used:

Dependent samples t-test

2) SPSS outputs (paste the tables or screenshot from SPSS output file)

3) Report your conclusion

 

For RQ3:

1) Type of t-test used:

One Sample t-test

2) SPSS outputs (paste the tables or screenshot below from SPSS output file)

3) Report your conclusion

Part C. [5 points]

Research Scenario: A researcher wants to know if a 2-minute tutorial video abut PC is effective on changing non-PC users’ perceptions about PC. The researcher recruited 30 people (all non-PC users) as a sample, surveyed their perception about PC. After that, the sample (30 people) watched the tutorial video then the researcher surveyed again to measure if there is any change on participants’ perceptions. The researcher conducted t-test and got t-value of 4.12 (p < .05). 1. What would be an appropriate Ha? 2. What would be an appropriate H0? 3. Among the three types of t-tests, which is appropriate for this research? Why?

Attachments:

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