Review the SPSS output file which reports the results of the indepen.docx

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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 .

Education

/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

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

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

Can anyone helpme with this assignment below? Need to pass Plagarism TURN IT IN Software! CORRELATIONS /VARIABLES=calories alcohol /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE. Correlations 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 35 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 Descriptive Statistics Mean Std. Deviation N Calories per 12 Fluid Ounces for brand 139.77 24.447 35 Alcohol by Volume (in %) for brand 4.6686 .35295 35 Correlations Calories per 12 Fluid Ounces for brand Alcohol by Volume (in %) for brand Calories per 12 Fluid Ounces for brand Pearson Correlation 1 .839 ** Sig. (2-tailed) .000 N 35 35 Alcohol by Volume (in %) for brand Pearson Correlation .839 ** 1 Sig. (2-tailed) .000 N 35 35 **. 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: 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 = _____). 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 = _____). 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: Looking at the correlations table, what is the r -value for the correlation between .

ONEWAY alcohol BY ratingSTATISTICS DESCRIPTIVES HOMOGENEITY.docx

arnit1

ONEWAY alcohol BY rating /STATISTICS DESCRIPTIVES HOMOGENEITY /PLOT MEANS /MISSING ANALYSIS /POSTHOC=TUKEY ALPHA(0.05). Oneway 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 35 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 Descriptives Alcohol by Volume (in %) for brand N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Lower Bound Upper Bound VeryGood 11 4.9000 .17889 .05394 4.7798 5.0202 Good 14 4.6000 .38829 .10377 4.3758 4.8242 Fair 10 4.5100 .34140 .10796 4.2658 4.7542 Total 35 4.6686 .35295 .05966 4.5473 4.7898 Descriptives Alcohol by Volume (in %) for brand Minimum Maximum VeryGood 4.70 5.20 Good 4.00 5.50 Fair 3.90 5.00 Total 3.90 5.50 Test of Homogeneity of Variances Alcohol by Volume (in %) for brand Levene Statistic df1 df2 Sig. 1.420 2 32 .256 ANOVA Alcohol by Volume (in %) for brand Sum of Squares df Mean Square F Sig. Between Groups .906 2 .453 4.357 .021 Within Groups 3.329 32 .104 Total 4.235 34 Post Hoc Tests 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) Std. Error Sig. VeryGood Good .30000 .12995 .069 Fair .39000 * .14093 .025 Good VeryGood -.30000 .12995 .069 Fair .09000 .13354 .780 Fair VeryGood -.39000 * .14093 .025 Good -.09000 .13354 .780 Multiple Comparisons Dependent Variable: Alcohol by Volume (in %) for brand Tukey HSD (I) Rated Quality of Brand (J) Rated Quality of Brand 95% Confidence Interval Lower Bound Upper Bound VeryGood Good -.0193 .6193 Fair .0437 * .7363 Good VeryGood -.6193 .0193 Fair -.2382 .4182 Fair VeryGood -.7363 * -.0437 Good -.4182 .2382 *. The mean difference is significant at the 0.05 level. Homogeneous Subsets Alcohol by Volume (in %) for brand Tukey HSD a,b Rated Quality of Brand N Subset for alpha = 0.05 1 2 Fair 10 4.5100 Good 14 4.6000 4.6000 VeryGood 11 4.9000 Sig. .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. Mean.

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Maryland psyc 355 week 1 spss homework 1 new

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© Charles T. Diebold, Ph.D., 9152013. All Rights Reserved. .docx

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