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CORRELATIONS

 

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  /VARIABLES=calories alcohol

 

  /PRINT=TWOTAIL NOSIG

 

  /STATISTICS DESCRIPTIVES

 

  /MISSING=PAIRWISE.

  

Correlations

   

 

 

35

Notes

Output Created

07-JUN-2013 13:24:52

Comments

Input

Data

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 pair of variables are based on all the cases with valid data for that pair.

Syntax

CORRELATIONS  /VARIABLES=calories alcohol  /PRINT=TWOTAIL NOSIG  /STATISTICS DESCRIPTIVES  /MISSING=PAIRWISE.

Resources

Processor Time

00:00:00.02

Elapsed Time

00:00:00.45

     

[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

35

35

Descriptive Statistics

Mean

Std. Deviation

Calories per 12 Fluid Ounces for brand

139.77

24.447

Alcohol by Volume (in %) for brand

4.6686

.35295

     

Correlations

 Calories per 12 Fluid Ounces for brandAlcohol by Volume (in %) for brandCalories per 12 Fluid Ounces for brand

1

 

N3535Alcohol by Volume (in %) for brandPearson Correlation.839**1Sig. (2-tailed).000 

N3535

Pearson Correlation

.839**

Sig. (2-tailed)

.000

   

**. Correlation is significant at the 0.01 level (2-tailed).

   

Review the SPSS output file which reports the results of the between-group (independent group) factorial ANOVA to see if the mean alcohol by volume (%) differs as a function of rating given by beer expert (IV 1) and/or recommendation made by a beer connoisseur magazine (IV 2). Answer the following questions based on your observations of the SPSS output file:

 

  1. Is the mean alcohol by volume level different for the type of rating given by the beer expert (main effect of IV1)? What are F-value and the significance level for this test (write result using the following notation:  F(df1, df2) = _____, p = _____). 
  2. Is the mean alcohol by volume level different for the type of recommendation given by the beer magazine? What are F-value and the significance level for this test (write result using following notation:  F(df1, df2) = _____, p = _____).
  3. Is the mean alcohol by volume level different for different combinations of expert rating and magazine recommendation (interaction term)? What are F-value and the significance level for this test (write result using following notation:  F(df1, df2) = _____, p = _____).

   

Review the SPSS output file, which reports the results of computing the Pearson product-moment correlation coefficient to examine the possible relationship between the number of calories in a brand of beer and its alcohol by volume. Answer the following questions based on your observations of the SPSS output file:

 

  1. Looking at the correlations table, what is the r-value for the correlation between these two variables?
  2. Is that r-value statistically significant? What is the 2-tailed significance?
  3. Write the results in the following format:  r(df value) = ____, p = _____

 

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