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SPSSAnalysis.docx

ANALYSIS OF MEANS

1. 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.

2.  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.

4.  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