SPSS DATA INTERPRETATION 1

A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.

Directions:

Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:

1. Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.

1. Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?

1. Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.

1. The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?

SPSS Data Set Legend (Attachment “A”)

Information has been gathered on 35 brands of wheat beer. Qualitative (categorical) information has been given codes. Information that is in numerical form (e.g., $ amount) does not need to be coded.

Here are all the types of information gathered on these beers:

1. Product name (abbreviation of product’s brand name)

2. Product ID code

a. Codes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last one

3. Rating assigned to the product by a taste expert for each brand

a. Codes: 1 = Very good

2 = Good

3 = Fair

4. Recommended by leading beer connoisseur magazine?

a. Codes: 0 = no

1 = yes

5. Country of origin for each brand:

a. Codes: 1 = USA

2 = Canada

3 = France

4 = Holland

5 = Mexico

6 = Germany

7 = Japan

6. Availability in the USA for each brand

a. Codes: 1 = National

2 = Regional

7. Price per 6-pack for each brand (values are in US Dollars)

8. Cost per 12 fluid ounces for each brand (values are in US Dollars)

9. Calories per 12 fluid ounces

10. Sodium per 12 fluid ounces for each brand (values are in milligrams, mg)

11. Alcohol by volume for each brand (values are percents, %)

12. Price class for each brand

a. Codes: 0 = Not classified

1 = Super premium

2 = Premium

3 = Popular

13. Regular or reduced calorie for each brand

a. Codes: 0 = Regular

1 = Reduced calorie

14. Number of US states in which brand was sold in 2008.

15. Number of US states in which brand was sold in 2012.

Data Interpretation (Attachment “B”)

ONEWAY alcohol BY rating

/STATISTICS DESCRIPTIVES HOMOGENEITY

/PLOT MEANS

/MISSING ANALYSIS

/POSTHOC=TUKEY ALPHA(0.05).

One-way

[DataSet1] C:\Users\donn\Documents\GCU Lead fac\Project -revised for course applications DH.sav

Post Hoc Tests

Homogeneous Subsets

MEANS PLOT