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Project 7: Inferential Tests – Ordinal Nonparametric and Continuous t-test

 

  1. Nonparametric Mann-Whitney U statistic (ordinal two-group test)

 

  1. Using “neighborhood has a crime watch” as your independent variable and “how much of a problem is crime in your community” as your dependent variable, make an appropriate one-tailed hypothesis and test it with the results below. Interpret the results. (2 points)

 

 

Ranks
  DOES NEIGHBORHOOD HAVE CRIME WATCH PROGRAM N Mean Rank Sum of Ranks
HOW MUCH PROBLEM IS CRIME IN YOUR COMMUNITY NO 539 411.85 221988.50
YES 297 430.56 127877.50
Total 836    

 

 
  HOW MUCH PROBLEM IS CRIME IN YOUR COMMUNITY
Mann-Whitney U 76458.500
Wilcoxon W 221988.500
Z -1.080
Asymp. Sig. (2-tailed) .280
a. Grouping Variable: DOES NEIGHBORHOOD HAVE CRIME WATCH PROGRAM

 

  1. Choose two appropriate variables from the Crime survey dataset. Make a one-tailed hypothesis and test it with the Mann-Whitney U statistic.  Interpret your results. Copy and paste the relevant SPSS output below. (3 points)

 

  1. Nonparametric Kruskal Wallis H statistic (ordinal, 3+ groups)
  2. Using the general type of conviction offense as your independent variable and “number of successful days on parole” as your dependent variable, make an appropriate hypothesis and test it with the results below. Interpret the results.  (2 points)

 

  1. Choose two appropriate variables from the Fear of Crime survey dataset. Make a hypothesis and test it with the Kruskal Wallis H statistic.  Interpret your results. Include the relevant SPSS output for the hypothesis test below. (3 points)
  2. Parametric independent-samples t-test (continuous 2-group statistic)

 

  1. Examine the results below. The test evaluates the hypothesis that white prison inmates are older at their first arrest than minority inmates.  Which of the two t-tests is the proper one to use, the equal variances assumed or equal variances not assumed?  Why?   Interpret the test results of the hypothesis test below. (2 points)

 

  1. Use the Crime survey dataset. Choose two variables that would be appropriate for the independent-samples t-test.  Make a hypothesis and test it.  Interpret your results.  Include a copy of your SPSS output.  (3 points)
  2. Parametric related-samples t-test (continuous 2-group statistic).
  3. Examine the results below. The test evaluates the hypothesis individuals experience higher levels of depression after witnessing severe violence (a person being stabbed or shot).  Is the hypothesis supported?   Support your decision and interpret the test results. (2 points)
  4. Use the Add Health dataset. Answer the following research question—do teenagers and young adults that go to substance abuse treatment reduce their marijuana consumption? First, select all the users that were in substance abuse treatment between Wave I and Wave II of data collection (H2HS7 > 0) using the Data>Select Cases function in SPSS.  Then compare the number of times each of individual smoked marijuana in the past 30 days from time 1 (H1TO32) to time 2 (H2TO46).  Interpret your results and answer the research question.  Copy and paste the relevant SPSS output with your answer.  (3 points)

 

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