18. 18
Descriptive Statistics
(แบบสอบถามความพึงพอใจที่มีต่อการเข้าร่วมงาน)
N Mean Std. Deviation
berefit 100 4.2800 .66788
perscade 100 3.9700 .78438
knowledse 100 3.9400 .81427
modern 100 3.9800 .79111
format 100 4.1500 .82112
activities 100 3.9900 .84680
area 100 3.8600 .91032
activities 100 3.8400 .97151
security 100 3.7300 .89730
parking 100 3.4900 .91558
toitet 100 3.4900 .95869
concierse 100 3.5700 .90179
Valid N (listwise) 100
One-SampleStatistics
N Mean Std. Deviation Std. Error Mean
income 100 11655.0000 12321.79948 1232.17995
One-SampleTest
Test Value =5000
t
ค่าสถิติทดสอบ
Df
องศาอิสระ
Sig. (2-tailed) Mean
Difference
95% Confidence Intervalof the
Difference
Lower Upper
income 5.401 99 .000 6655.00000 4210.0877 9099.9123
19. 19
ความสัมพันธ์โดยใช้สถิติการทดสอบไคสแควส์
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
vehicle * duration 100 100.0% 0 .0% 100 100.0%
vehicle * duration Crosstabulation
duration
TotalDay evening nisht day and night
vehicle vehicle Count 3 5 14 2 24
% of Total 3.0% 5.0% 14.0% 2.0% 24.0%
food Count 3 5 26 1 35
% of Total 3.0% 5.0% 26.0% 1.0% 35.0%
the merit Count 0 12 28 1 41
% of Total .0% 12.0% 28.0% 1.0% 41.0%
Total Count 6 22 68 4 100
% of Total 6.0% 22.0% 68.0% 4.0% 100.0%
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 8.506a 6 .203
Likelihood Ratio 10.350 6 .111
Linear-by-Linear Association .303 1 .582
N of Valid Cases 100
a. 6 cells (50.0%) have expected countless than 5. The minimum
expected count is .96.
20. 20
Symmetric Measures
Value
Asymp. Std.
Errora
Approx. Tb
Approx. Sig.
Interval by Interval Pearson's R .055 .099 .548 .585c
Ordinal by Ordinal Spearman Correlation .012 .106 .121 .904c
N of Valid Cases 100
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
สัมประสิทธิ์
Variables Entered/Removedb
Model Variables Entered
Variables
Removed Method
1 incomea
. Enter
a. All requested variables entered.
b. DependentVariable:expenses
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .328a
.107 .098 439.45369
a. Predictors:(Constant),income
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2275759.565 1 2275759.565 11.784 .001a
Residual 1.893E7 98 193119.545
Total 2.120E7 99
a. Predictors:(Constant),income
b. DependentVariable:expenses