Homework

ONEWAY alcohol BY rating

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  /STATISTICS DESCRIPTIVES HOMOGENEITY

  /PLOT MEANS

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  /MISSING ANALYSIS

  /POSTHOC=TUKEY ALPHA(0.05).

   

Oneway

  

 

35

Notes

Output Created

07-JUN-2013 12:39:57

Comments

Input

Data

C:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.sav

Active Dataset

DataSet1

File Label

                       SPSS/PC+

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics for each analysis are based on cases with no missing data for any variable in the analysis.

Syntax

ONEWAY alcohol BY rating  /STATISTICS DESCRIPTIVES HOMOGENEITY  /PLOT MEANS  /MISSING ANALYSIS  /POSTHOC=TUKEY ALPHA(0.05).

Resources

Processor Time

00:00:00.33

Elapsed Time

00:00:00.42

  

[DataSet1] C:\Users\donn\Documents\GCU Lead fac\Project with Judy for modifying PSY845 to introduce SPSS\drinks database -revised for course applications DH.sav

  

 

 N

for Mean

11

Good14

10

35

Descriptives

Alcohol by Volume (in %) for brand

Mean

Std. Deviation

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

Very

Good

4.9000

.17889

.05394

4.7798

5.0202

4.6000

.38829

.10377

4.3758

4.8242

Fair

4.5100

.34140

.10796

4.2658

4.7542

Total

4.6686

.35295

.05966

4.5473

4.7898

 

Descriptives 

 

 

 

 

 

Good

 

Fair

 

Total3.905.50 

Alcohol by Volume (in %) for brand 

Minimum

Maximum

VeryGood

4.70

5.20

4.00

5.50

3.90

5.00

  

Alcohol by Volume (in %) for brand 

232

Test of Homogeneity of Variances

Levene Statistic

df1

df2

Sig.

1.420

.256

  

Alcohol by Volume (in %) for brand 

 

df

FSig.

2

32

  

Total

34   

ANOVA

Sum of Squares

Mean Square

Between Groups

.906

.453

4.357

.021

Within Groups

3.329

.104

4.235

   

Post Hoc Tests

  

 

 

 

Std. ErrorSig. 

 

VeryGoodGood

 

Fair

 

GoodVeryGood

.12995.069 

Fair

 

FairVeryGood

.14093.025 

Good

.13354.780 

Multiple Comparisons

Dependent Variable:   Alcohol by Volume (in %) for brand 

Tukey HSD 

(I)

Rated Quality of Brand

(J) Rated Quality of Brand

Mean Difference (I-J)

.30000

.12995

.069

.39000*

.14093

.025

-.30000

.09000

.13354

.780

-.39000*

-.09000

 

Multiple ComparisonsDependent Variable:   Alcohol by Volume (in %) for brand  Tukey HSD 

(I) Rated Quality of Brand

(J) Rated Quality of Brand95% Confidence Interval

Lower BoundUpper Bound

VeryGoodGood

Fair

GoodVeryGood

.0193

Fair

FairVeryGood

Good

.2382

.0193

.6193

.0437*

.7363

-.6193

.2382

.4182

-.7363*

-.0437

-.4182

 

*. The mean difference is significant at the 0.05 level.

   

Homogeneous Subsets

  

Alcohol by Volume (in %) for brand

Rated Quality of BrandN

12

Fair104.5100 Good144.60004.6000VeryGood11 4.9000Sig. 

Tukey HSDa,b 

Subset for alpha = 0.05

.784

.082

 

Means for groups in homogeneous subsets are displayed.

a. Uses Harmonic Mean Sample Size = 11.436.

b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.

   

Means Plots

    

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.
  2. 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?
  3. 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 = ______.
  4. 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?

Requirements

 

How do you get the answer and what do you understand about it?

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