Module 2 Assignment: Using SPSS to Analyze Correlations and T-Tests
Use the following SPSS software:
https://stuedu.sharepoint.com/sites/stuoit/Shared%20Documents/Forms/AllItems.aspx?ga=1&id=%2Fsites%2Fstuoit%2FShared%20Documents%2FStudent%20Apps%2FSPSS28%20%2D%20Windows%2FSPSS28%5FInstaller%5FWin%2Eexe&parent=%2Fsites%2Fstuoit%2FShared%20Documents%2FStudent%20Apps%2FSPSS28%20%2D%20Windows
Link to Data Analysis Sets:
https://wps.pearsoned.co.uk/ema_uk_he_mayers_statspss_1/239/61356/15707255.cw/index.html
Part 1: Use the “Alcohol and reaction time” data analysis set:
Run the appropriate correlation analysis for each of the following:
Average units of alcohol with reaction time.
Mood with reaction time.
Mood with reaction time, controlling for average units of alcohol.
Mood with gender.
Then, copy and paste the results into your assignment.
Then . . .
Develop an alternative hypothesis and null hypothesis for each of the scenarios.
Identify the variables and their attributes.
Discuss the results you received whether you reject or fail to reject the null hypotheses and why.
Part 2: Use the “Computer Games” data analyses set:
Check for normal distribution across hours played on computer games.
Conduct an independent t-test.
Then copy and paste the results into your assignment.
Then
Explain the importance of knowing whether or not the data has a normal distribution.
Develop an alternative hypothesis and null hypothesis for the scenario.
Identify the variables and their attributes.
Discuss the results you received whether you reject or fail to reject the null hypotheses and why.
Part 3: Use the “Satisfaction with treatment” data analyses:
Check for normal distribution at both time points.
Conduct a related t-test.
Then copy and paste the results into your assignment.
Then
Explain what the effect size is and why it is important.
Develop an alternative hypothesis and null hypothesis for the scenario.
Identify the variables and their attributes.
Discuss the results you received whether you reject or fail to reject the null hypotheses and why.