I need help on my statistics homework

PSY 520: Module Nine Problem Set

Nonparametric Analysis


Use the data set in the Problem Set Data document.


1.       First we are going to see if males and females differ in their choice of college major.  Since both variables are measured on a categorical scale, we have to use a chi-square test to address this question.  You can learn about chi-squares on pp. 735-46 of the textbook.


Using college major and sex as your variables, perform a chi-square analysis.  To do this, go to Analyze—Descriptive Statistics—Crosstabs. Enter Gender in the box labeled “Row(s)” and Major in the box labeled “Column(s).”  Click on Statistics, and then on Chi-Square.  Click “Continue,” then hit “OK” to run the analysis. 


Paste the tables labeled “Gender*Major Crosstabulation” and “Chi-Square Tests” here.  (5 points)



Gender * Major Crosstabulation


































Chi-Square Tests




Asymp. Sig. (2-sided)

Pearson Chi-Square




Likelihood Ratio




Linear-by-Linear Association




N of Valid Cases




a. 1 cells (10.0%) have expected count less than 5. The minimum expected count is 4.30.


The results of the chi-square analysis will be listed in the row labeled “Pearson chi-square” in the “Chi-Square Tests” table.  Explain your results using APA formatting.  See section 18.5.7 on p. 746 of the SPSS book for how to do this  (10 points: 2 points for type of test, 1 point for df, 2 points for the correct chi-square value, 1 point for the correct p value, and 4 points for correctly interpreting the results of the test.)




2.       Next, we are going to compare coffee drinkers and non-coffee drinkers on the amount of coffee they consume.  The grouping variable is labeled Coffee (1 = coffee drinker, 0 = non-coffee drinker), and the outcome variable is labeled Num_cups.


a)      First state the name of the parametric test that would typically be used to compare the results of two groups.  (1 point)



b)      Then look at the distribution of the data to determine if the assumptions of this test are met.  An easy way to do this would be to go to Analyze—Descriptive Statistics—Frequencies. Enter the outcome variable (Num_cups) in the “Variable(s)” box.   Then click on Charts and then on Histograms.  Click Continue, then OK to run the analysis.  Paste the histogram here (2 points)



c)  After taking a look at the distribution of the data, state why these data violate a key assumption of parametric tests.  (2 points).



d) Find the medians of the 2 groups. One way to do this is to go to Analyze-Descriptive Statistics–Explore.  Enter Coffee under Factor List and Num_cups under Dependent List. Click OK to run the analysis. List the medians of the coffee and non-coffee groups here. (2 points)


e) Now conduct a Mann-Whitney U test to see if the two groups differ in the amount of coffee consumed.  You can learn more about the Mann-Whitney U test on pp. 217-228 of the SPSS book. 


To conduct the test, go to Analyze—Nonparametric Tests—Independent Samples.  Under the Objective tab, click on “Customize Analysis.”  Under the Fields tab, drag Coffee to the box labeled Groups and Num_cups to the box labeled Test Fields.  Under the Settings tab, click on Customize Tests, then on Mann-Whitney U (2 samples).


Click Run to run the analysis.  Paste here the table labeled “Hypothesis Test Summary.” (2 points)



f) Explain your results using APA formatting. See section 6.4.6 in the SPSS book for an example, but don’t worry about effect sizes (r).


To write up the results, you’ll need to double click on the Hypothesis Test Summary table to see the value of the Mann-Whitney U statistic and the Standardized Test Statistic (z), but you don’t need to paste these detailed results here. 


If the groups differed, please don’t just state that they differed significantly; instead, explain which group drank significantly more coffee than which other groups


(6 points: 1 point for correctly stating the name of the test, 1 point for including the medians, 1 point for the correct value of the Mann-Whitney U statistic, 1 point for the correct value of the z statistic, 1 point for the correct p value, and 1 point for correctly interpreting the result). 

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
The price is based on these factors:
Academic level
Number of pages
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more

Order your essay today and save 15% with the discount code GRADUATE