ANALYSIS OF MEANS

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1. What is the mean for each (not combined)
2. A) X7,

For x7, the mean is 4.7, it means that subject moderately agrees that they are have self-confident.

1. B) X12,

For x12, the mean is 3.8, it means that subject somewhat disagrees that they are friendly employees in their work place.

1. C) X17,

For x17, the mean is 4.64, it means that subject is undecided whether they like houses whose interior is attractive.

1. D) X22.

For x22 the mean is 4.9 it means that subject is undecided whether they were satisfied with the services that they have received from the restaurants they attended.

1. Compare and contrast the means of two groups.  Are males OR females less likely to buy a new product? Explain fully your conclusion.  Don’t guess.  Support your answer by providing the mean that was computed.

The males are likely to go for the new product compare to female counterpart. This true because the male has higher mean of 5.91 compared to the female mean of 5.41. This means that higher number of males are likely to buy a new product whenever a chance avails itself. It can also be seen also that the number of men (208) who participated during this study were also higher compared to that of women (117). 3.  Correlation: Explain fully the concept of correlation between variables.  Based on the questionnaire implemented and the SPSS outputs, does the Pearson Correlation reveal that there is a high or low correlation between the level of satisfaction and the likelihood to return to a favorite Mexican restaurant?  What was the Pearson Correlation computed to be?  For example .4, .6, .73, .85, or 1.0?  Don’t guess.  Explain fully.

The computed Pearson correlation was found to be 1. With such high level of satisfaction, the probability that a person would return was 0.584 for the 325 participants in the research. The significance of the two tailed analysis was 0.000.

1. What does the multiple regression reveal about the ability of fun, size, taste, and service to predict customer satisfaction?  Don’t guess.  What are the beta coefficients for each?  Explain fully.

When the place is fun to eat, the probability of being satisfied is 0.082. When the amount of food served is 0.132 while the excellence taste of food contributes to only 0.191 portability of having the customers satisfied. The speed of the services however carries the day where the probability of having a customer satisfied because of the speed of service is 0.292.

SPSS Outputs

FREQUENCIES VARIABLES=x22

/ORDER=ANALYSIS.

Frequencies

 Statistics X22 — Satisfaction N Valid 325 Missing 1

 X22 — Satisfaction Frequency Percent Valid Percent Cumulative Percent Valid 3 22 6.7 6.8 6.8 4 93 28.5 28.6 35.4 5 58 17.8 17.8 53.2 6 60 18.4 18.5 71.7 7 = Highly Satisfied 92 28.2 28.3 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x22

/STATISTICS=MEAN MEDIAN MODE

/ORDER=ANALYSIS.

Frequencies

 Statistics X22 — Satisfaction N Valid 325 Missing 1 Mean 5.33 Median 5.00 Mode 4

 X22 — Satisfaction Frequency Percent Valid Percent Cumulative Percent Valid 3 22 6.7 6.8 6.8 4 93 28.5 28.6 35.4 5 58 17.8 17.8 53.2 6 60 18.4 18.5 71.7 7 = Highly Satisfied 92 28.2 28.3 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x22

/STATISTICS=MEAN MEDIAN MODE

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X22 — Satisfaction N Valid 325 Missing 1 Mean 5.33 Median 5.00 Mode 4

 X22 — Satisfaction Frequency Percent Valid Percent Cumulative Percent Valid 3 22 6.7 6.8 6.8 4 93 28.5 28.6 35.4 5 58 17.8 17.8 53.2 6 60 18.4 18.5 71.7 7 = Highly Satisfied 92 28.2 28.3 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x7

/STATISTICS=MEAN MEDIAN MODE

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X7 — Self-Confident N Valid 325 Missing 1 Mean 4.70 Median 5.00 Mode 5

 X7 — Self-Confident Frequency Percent Valid Percent Cumulative Percent Valid 2 14 4.3 4.3 4.3 3 43 13.2 13.2 17.5 4 68 20.9 20.9 38.5 5 113 34.7 34.8 73.2 6 74 22.7 22.8 96.0 Strongly Agree 13 4.0 4.0 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x12

/STATISTICS=MEAN MEDIAN MODE

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X12 — Friendly Employees N Valid 325 Missing 1 Mean 3.81 Median 4.00 Mode 5

 X12 — Friendly Employees Frequency Percent Valid Percent Cumulative Percent Valid Strongly Disagree 5 1.5 1.5 1.5 2 70 21.5 21.5 23.1 3 35 10.7 10.8 33.8 4 87 26.7 26.8 60.6 5 128 39.3 39.4 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x17

/STATISTICS=MEAN MEDIAN MODE

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X17 — Attractive Interior N Valid 325 Missing 1 Mean 4.64 Median 5.00 Mode 5

 X17 — Attractive Interior Frequency Percent Valid Percent Cumulative Percent Valid 2 6 1.8 1.8 1.8 3 45 13.8 13.8 15.7 4 77 23.6 23.7 39.4 5 134 41.1 41.2 80.6 6 59 18.1 18.2 98.8 Strongly Agree 4 1.2 1.2 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x22

/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X22 — Satisfaction N Valid 325 Missing 1 Std. Deviation 1.331 Variance 1.771 Range 4 Minimum 3 Maximum 7

 X22 — Satisfaction Frequency Percent Valid Percent Cumulative Percent Valid 3 22 6.7 6.8 6.8 4 93 28.5 28.6 35.4 5 58 17.8 17.8 53.2 6 60 18.4 18.5 71.7 7 = Highly Satisfied 92 28.2 28.3 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x7

/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X7 — Self-Confident N Valid 325 Missing 1 Std. Deviation 1.196 Variance 1.431 Range 5 Minimum 2 Maximum 7

 X7 — Self-Confident Frequency Percent Valid Percent Cumulative Percent Valid 2 14 4.3 4.3 4.3 3 43 13.2 13.2 17.5 4 68 20.9 20.9 38.5 5 113 34.7 34.8 73.2 6 74 22.7 22.8 96.0 Strongly Agree 13 4.0 4.0 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x12

/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X12 — Friendly Employees N Valid 325 Missing 1 Std. Deviation 1.212 Variance 1.470 Range 4 Minimum 1 Maximum 5

 X12 — Friendly Employees Frequency Percent Valid Percent Cumulative Percent Valid Strongly Disagree 5 1.5 1.5 1.5 2 70 21.5 21.5 23.1 3 35 10.7 10.8 33.8 4 87 26.7 26.8 60.6 5 128 39.3 39.4 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

FREQUENCIES VARIABLES=x17

/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM

/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

 Statistics X17 — Attractive Interior N Valid 325 Missing 1 Std. Deviation 1.029 Variance 1.059 Range 5 Minimum 2 Maximum 7

 X17 — Attractive Interior Frequency Percent Valid Percent Cumulative Percent Valid 2 6 1.8 1.8 1.8 3 45 13.8 13.8 15.7 4 77 23.6 23.7 39.4 5 134 41.1 41.2 80.6 6 59 18.1 18.2 98.8 Strongly Agree 4 1.2 1.2 100.0 Total 325 99.7 100.0 Missing System 1 .3 Total 326 100.0

CROSSTABS

/TABLES=x2 BY x32

/FORMAT=AVALUE TABLES

/CELLS=COUNT

/COUNT ROUND CELL.

Crosstabs

 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent X2 — Party Person * X32 — Gender 325 99.7% 1 0.3% 326 100.0%

 X2 — Party Person * X32 — Gender Crosstabulation Count X32 — Gender Total Male Female X2 — Party Person 2 6 3 9 3 34 18 52 4 87 41 128 5 64 33 97 6 11 16 27 Strongly Agree 6 6 12 Total 208 117 325

CROSSTABS

/TABLES=x2 BY x32

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ

/CELLS=COUNT EXPECTED COLUMN

/COUNT ROUND CELL.

Crosstabs

 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent X2 — Party Person * X32 — Gender 325 99.7% 1 0.3% 326 100.0%

 X2 — Party Person * X32 — Gender Crosstabulation X32 — Gender Total Male Female X2 — Party Person 2 Count 6 3 9 Expected Count 5.8 3.2 9.0 % within X32 — Gender 2.9% 2.6% 2.8% 3 Count 34 18 52 Expected Count 33.3 18.7 52.0 % within X32 — Gender 16.3% 15.4% 16.0% 4 Count 87 41 128 Expected Count 81.9 46.1 128.0 % within X32 — Gender 41.8% 35.0% 39.4% 5 Count 64 33 97 Expected Count 62.1 34.9 97.0 % within X32 — Gender 30.8% 28.2% 29.8% 6 Count 11 16 27 Expected Count 17.3 9.7 27.0 % within X32 — Gender 5.3% 13.7% 8.3% Strongly Agree Count 6 6 12 Expected Count 7.7 4.3 12.0 % within X32 — Gender 2.9% 5.1% 3.7% Total Count 208 117 325 Expected Count 208.0 117.0 325.0 % within X32 — Gender 100.0% 100.0% 100.0%

 Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 8.472a 5 .132 Likelihood Ratio 8.121 5 .150 Linear-by-Linear Association 3.435 1 .064 N of Valid Cases 325

 a. 2 cells (16.7%) have expected count less than 5. The minimum expected count is 3.24.

ONEWAY x9 BY x32

/STATISTICS DESCRIPTIVES

/MISSING ANALYSIS.

Oneway

 Descriptives X9 — Buy New Products N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound Male 208 5.91 1.495 .104 5.71 6.12 1 7 Female 117 5.49 1.627 .150 5.19 5.79 2 7 Total 325 5.76 1.555 .086 5.59 5.93 1 7

 ANOVA X9 — Buy New Products Sum of Squares df Mean Square F Sig. Between Groups 13.607 1 13.607 5.710 .017 Within Groups 769.673 323 2.383 Total 783.280 324

ONEWAY x24 BY x33

/STATISTICS DESCRIPTIVES

/MISSING ANALYSIS

/POSTHOC=SCHEFFE ALPHA(0.05).

Oneway

 Descriptives X24 — Likely to Recommend N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Lower Bound Upper Bound No Children at Home 148 4.87 1.535 .126 4.62 5.12 1 1-2 Children at Home 95 4.72 1.478 .152 4.41 5.02 1 More Than 2 Children at Home 82 5.13 1.538 .170 4.80 5.47 1 Total 325 4.89 1.523 .084 4.73 5.06 1

 Descriptives X24 — Likely to Recommend Maximum No Children at Home 7 1-2 Children at Home 7 More Than 2 Children at Home 7 Total 7

 ANOVA X24 — Likely to Recommend Sum of Squares df Mean Square F Sig. Between Groups 7.819 2 3.910 1.693 .186 Within Groups 743.412 322 2.309 Total 751.231 324

Post Hoc Tests

 Multiple Comparisons Dependent Variable: X24 — Likely to Recommend Scheffe (I) X33 — Number of Children at Home (J) X33 — Number of Children at Home Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound No Children at Home 1-2 Children at Home .156 .200 .738 -.34 .65 More Than 2 Children at Home -.263 .209 .456 -.78 .25 1-2 Children at Home No Children at Home -.156 .200 .738 -.65 .34 More Than 2 Children at Home -.418 .229 .190 -.98 .14 More Than 2 Children at Home No Children at Home .263 .209 .456 -.25 .78 1-2 Children at Home .418 .229 .190 -.14 .98

Homogeneous Subsets

 X24 — Likely to Recommend Scheffea,b X33 — Number of Children at Home N Subset for alpha = 0.05 1 1-2 Children at Home 95 4.72 No Children at Home 148 4.87 More Than 2 Children at Home 82 5.13 Sig. .147

 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 101.770. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.

CORRELATIONS

/VARIABLES=x22 x23

/PRINT=TWOTAIL NOSIG

/STATISTICS DESCRIPTIVES

/MISSING=PAIRWISE.

Correlations

 Descriptive Statistics Mean Std. Deviation N X22 — Satisfaction 5.33 1.331 325 X23 — Likely to Return 4.53 1.148 325

 Correlations X22 — Satisfaction X23 — Likely to Return X22 — Satisfaction Pearson Correlation 1 .584** Sig. (2-tailed) .000 N 325 325 X23 — Likely to Return Pearson Correlation .584** 1 Sig. (2-tailed) .000 N 325 325

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

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT x22

/METHOD=ENTER x13 x14 x18 x21.

Regression

 Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 X21 — Speed of Service, X14 — Large Size Portions, X18 — Excellent Food Taste, X13 — Fun Place to Eatb . Enter

 a. Dependent Variable: X22 — Satisfaction b. All requested variables entered.

 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .422a .178 .168 1.214

 a. Predictors: (Constant), X21 — Speed of Service, X14 — Large Size Portions, X18 — Excellent Food Taste, X13 — Fun Place to Eat

 ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 102.239 4 25.560 17.346 .000b Residual 471.534 320 1.474 Total 573.772 324

 a. Dependent Variable: X22 — Satisfaction b. Predictors: (Constant), X21 — Speed of Service, X14 — Large Size Portions, X18 — Excellent Food Taste, X13 — Fun Place to Eat

 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.898 .498 3.808 .000 X13 — Fun Place to Eat .118 .079 .082 1.490 .137 X14 — Large Size Portions .139 .057 .132 2.417 .016 X18 — Excellent Food Taste .234 .064 .191 3.673 .000 X21 — Speed of Service .188 .034 .292 5.604 .000

 a. Dependent Variable: X22 — Satisfaction

Last Updated on March 12, 2020