Using the Criminal Justice GSS1 dataset ( cjgss1.sav ), test the claim that younger people support making marijuana legal more than older people, by conducting an appropriate statistical test. State...



  1. Using the Criminal Justice GSS1 dataset (cjgss1.sav), test the claim that younger people support making marijuana legal more than older people, by conducting an appropriate statistical test.


State the null and alternative hypotheses and test them at the .05 significance level. Paste all the necessary tables and give a proper explanation of the output.




Student’s Name: ____________ Note: The answer areas are not always strictly structured. This will give you more freedom to apply your knowledge of properly organizing hypotheses, independent and dependent variables, tables, logs, explanations and analyses. John Jay College – CRJ716 Final Exam – T-test, ANOVA, Crosstabs and Chi-Square T-TEST EXERCISE(25 points) Prof. Agron Kaci1 Open file: cjgss1.sav 1. Using the Criminal Justice GSS1 dataset (cjgss1.sav), test the claim that younger people support making marijuana legal more than older people, by conducting an appropriate statistical test. State the null and alternative hypotheses and test them at the .05 significance level. Paste all the necessary tables and give a proper explanation of the output. ___________ ANOVA EXERCISE(25 points) Open file: police_salary.sav Answer the following questions using data about police officers in the tri-state cities of New Jersey, New York, and Connecticut: 1. Test the claim that there is no effective difference in the mean number of cops per 1,000 in the tri-state area (NY, NJ, and CT) using an appropriate statistical test. (This will require you to create a new variable. Paste the syntax/code of the new computation below.) For this and the test below, test at the .05 significance level. Also, include ANOVA and other appropriate tables, as well as a detailed academic explanation. ___________ 2. Test the claim that the mean maximum police officer salaries for CT, NY, and NJ cities are the same. ___________ CROSSTABS(25 points) Open file: 2004gss_revised.sav · Research Hypothesis: Those who oppose capital punishment also oppose abortion for any reason. · Alternative Hypothesis: Those who oppose capital punishment are in favor of abortion for any reason · Null Hypothesis: ___________ Using the 2004gss_revised.sav data file (found in “2004 GSS Files” folder), do bivariate analyses to determine which hypothesis is more accurate. Remember to request column percentages. 1. State the Independent and dependent variables. Only the variable name would suffice. a. Independent variable: ___________ b. Dependent variable: ___________ If you want to find out more about these variables and what the literal question in the Survey was, please go here>>>. (Hold _Ctrl_ key and click the link). 2. What percentage of those who oppose capital punishment report supporting abortion? ___________ 3. What percentage of those who are in favor of capital punishment report supporting abortion? ___________ 4. Which hypothesis is more accurate (research, alternative, or the null)? Why? ___________ 5. Create two (2) additional crosstabulations with CAPPUN as the independent (column) variable and ABDEFECT and ABSINGLE as the dependent (row) variables. Paste those 2 tables here: ___________ 6. Of those who favor capital punishment, do you see any difference of opinions on supporting abortion when abortion is done because of any birth defect or because the mother is single? Which of the two reasons makes people be more favorable towards abortion? ___________ CHI-SQUARE(25 points) Open same file: 2004gss_revised.sav As we know, association means that two variables are related to the extent that knowing a person’s attribute on one will help you guess his or her attribute on the other. With this in mind, hypothesize, and then find and interpret Lambda (λ) and Chi-Square (χ2) values regarding the relationship between CAPPUN and POSTLIFE (believe in life after death) in the 2004gss_revised.sav file. 1. State the Null Hypothesis and Alternative Hypothesis: a. Null Hypothesis (Ho): ___________ b. Alternative Hypothesis (Ha): ___________ 2. State the Independent and Dependent variables. (Only the variable name would suffice.) Make sure that you place the correct IV and DV in the answer below, and not simply rely on the Crosstabs exercise hypothesis above, because it may be that your hypothesis in this section is different. a. Independent variable: ___________ b. Dependent variable: ___________ 3. Run the crosstabulation according to the methods we have learned. Paste only the appropriate tables here (i.e.: Lambda and Chi-Square tables): ___________ 4. What is the value of Lambda? What does it mean? ___________ 5. Enter the Chi-Square value: ___________ 6. Enter the degrees of freedom (d.f.): ___________ 7. Enter the p-value: ___________ 8. Based on the p-value, do we reject or fail to reject the null hypothesis at the .05 significance level? Explain you answer. ___________
May 25, 2022
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