Review the SPSS output file which reports the results of the independent t-test to compare the mean price per 6-pack for regular vs. reduced calorie brands of wheat beer. Answer the following questions based on your observations of the SPSS output file: Is the F-value for Levene's Test for Equality of Variances significant (that is, is the p < .05)? What is the exact significance level? Note: if the Levene's Test for Equality of Variances is significant, then equal variances cannot be assumed. Which t- value should you use now that you know whether or not equal variances can be assumed? What is that t -value? What is the two-tailed significance level for that t -value? State the exact significance value. Report the results of the t -test as follows: t (df value) = ___, and p -value.  Is there a statistically significant difference between the price per 6-pack of regular beers versus reduced calorie beers? T-TEST GROUPS=Reducedcals(0 1) /MISSING=ANALYSIS /VARIABLES=price /CRITERIA=CI(.95). T-Test Notes Output Created 07-JUN-2013 11:20:55 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 35 Missing Value Handling Definition of Missing User defined missing values are treated as missing. Cases Used Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis. Syntax T-TEST GROUPS=Reducedcals(0 1) /MISSING=ANALYSIS /VARIABLES=price /CRITERIA=CI(.95). Resources Processor Time 00:00:00.02 Elapsed Time 00:00:00.01 [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 Group Statistics Regular or reduced calorie for brand N Mean Std. Deviation Price per 6-pack for brand Regular 28 3.1154 1.24040 Reduced Calories 7 2.6757 .21870 Group Statistics Regular or reduced calorie for brand Std. Error Mean Price per 6-pack for brand Regular .23441 Reduced Calories .08266 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t Price per 6-pack for brand Equal variances assumed 6.987 .012 .924 Equal variances not assumed 1.769 Independent Samples Test t-test for Equality of Means df Sig. (2-tailed) Mean Difference Price per 6-pack for brand Equal variances assumed 33 .362 .43964 Equal variances not assumed 31.912 .086 .43964 Independent Samples Test t-test for Equality of Means Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Price per 6-pack for brand Equal variances assumed .47576 -.52829 1.40758 Equal variances not assumed .24856 -.06671 .94600 .

1. Review the SPSS output file which reports the results of the
independent t-test to compare the mean price per 6-pack for
regular vs. reduced calorie brands of wheat beer. Answer the
following questions based on your observations of the SPSS
output file:
Is the F-value for Levene's Test for Equality of Variances
significant (that is, is the
p
<
.05)? What is the exact significance level? Note: if the
Levene's Test for Equality of Variances is significant, then
equal variances cannot be assumed.
Which
t-
value should you use now that you know whether or not equal
variances can be assumed? What is that
t
-value?
What is the two-tailed significance level for that
t
-value? State the exact significance value. Report the results of
the
t
-test as follows:
t
(df value) = ___, and
p
-value.
Is there a statistically significant difference between the price
per 6-pack of regular beers versus reduced calorie beers?
T-TEST GROUPS=Reducedcals(0 1)

2. /MISSING=ANALYSIS
/VARIABLES=price
/CRITERIA=CI(.95).
T-Test
Notes
Output Created
07-JUN-2013 11:20:55
Comments
Input
Data
C:UsersdonnDocumentsGCU Lead facProject with Judy for
modifying PSY845 to introduce SPSSdrinks database -revised
for course applications DH.sav
Active Dataset
DataSet1
File Label
SPSS/PC+
Filter

3. Weight
Split File
N of Rows in Working Data File
35
Missing Value Handling
Definition of Missing
User defined missing values are treated as missing.
Cases Used
Statistics for each analysis are based on the cases with no
missing or out-of-range data for any variable in the analysis.
Syntax
T-TEST GROUPS=Reducedcals(0 1)
/MISSING=ANALYSIS
/VARIABLES=price
/CRITERIA=CI(.95).
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.01
[DataSet1] C:UsersdonnDocumentsGCU Lead facProject
with Judy for modifying PSY845 to introduce SPSSdrinks
database -revised for course applications DH.sav

4. Group Statistics
Regular or reduced calorie for brand
N
Mean
Std. Deviation
Price per 6-pack for brand
Regular
28
3.1154
1.24040
Reduced Calories
7
2.6757
.21870
Group Statistics
Regular or reduced calorie for brand
Std. Error Mean
Price per 6-pack for brand
Regular
.23441
Reduced Calories
.08266

5. Independent Samples Test
Levene's Test for Equality of Variances
t-test for Equality of Means
F
Sig.
t
Price per 6-pack for brand
Equal variances assumed
6.987
.012
.924
Equal variances not assumed
1.769

6. Independent Samples Test
t-test for Equality of Means
df
Sig. (2-tailed)
Mean Difference
Price per 6-pack for brand
Equal variances assumed
33
.362
.43964
Equal variances not assumed
31.912
.086
.43964
Independent Samples Test
t-test for Equality of Means
Std. Error Difference
95% Confidence Interval of the Difference
Lower
Upper
Price per 6-pack for brand

7. Equal variances assumed
.47576
-.52829
1.40758
Equal variances not assumed
.24856
-.06671
.94600