- What is the mean for each (not combined)
- A) X7,
For x7, the mean is 4.7, it means that subject moderately agrees that they are have self-confident.
- B) X12,
For x12, the mean is 3.8, it means that subject somewhat disagrees that they are friendly employees in their work place.
- C) X17,
For x17, the mean is 4.64, it means that subject is undecided whether they like houses whose interior is attractive.
- 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.
- 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.
- 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 |