Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in


  1. Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms of the assumptions they require and he data they use. Explain these differences.

3. A researcher is investigating the physical characteristics that influence whether a person’s face is judged as beautiful. The researcher selects a photograph of a woman and then creates two modifications of the photo by (1) moving the eyes slightly farther apart and photograph of a woman and creates two modifications are then shown to a sample of n= 150 college students, and each student is asked to select the "most beautiful" of the three faces. The distribution of responses was as follows:

Original Eyes Moved Apart Eyes Moved Together

51 72 27

Do the data indicate any significant preferences among the three versions of the photograph? Test at the .05 level of significance.

SPSS Assignment

Complete question 16 at the end of Chapter 16 in the Gravetter and Wallnau text using SPSS.

Be sure to weight cases according to frequency count. Use copy or copy object and paste the output from the Analyze>Descriptive Statistics>Crosstabs… command into your Assignment Worksheet. Also provide a one-paragraph interpretation of the data in the table.

Price: $15.56
Solution: The downloadable solution consists of 8 pages, 756 words and 19 charts.
Deliverable: Word Document


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