Descriptive Statistics

#Sex

## 
##                Freq       %   % Cum.
## ------------ ------ ------- --------
##       Female     34   61.82    61.82
##         Male     21   38.18   100.00

#Age

## 
##                              Freq       %   % Cum.
## -------------------------- ------ ------- --------
##           21 to 30 yrs old     16   29.09    29.09
##           31 to 40 yrs old      6   10.91    40.00
##           41 to 50 yrs old     14   25.45    65.45
##           51 to 60 yrs old     14   25.45    90.91
##       61 yrs old and above      5    9.09   100.00

#Status

## 
##                   Freq       %   % Cum.
## --------------- ------ ------- --------
##         Married     23   41.82    41.82
##       Separated      6   10.91    52.73
##          Single     22   40.00    92.73
##        Widow/er      4    7.27   100.00

#Highest Educational Attainment

## 
##                                          Freq       %   % Cum.
## -------------------------------------- ------ ------- --------
##                       College Graduate     32   58.18    58.18
##                  College Undergraduate     13   23.64    81.82
##                     Doctorate's Degree      2    3.64    85.45
##               Elementary Undergraduate      1    1.82    87.27
##       Junior High School Undergraduate      2    3.64    90.91
##                        Master's Degree      5    9.09   100.00

#Place of Residency

## 
##                              Freq       %   % Cum.
## -------------------------- ------ ------- --------
##       Outside the province      8   14.55    14.55
##         Outside the region      8   14.55    29.09
##        Within the province     39   70.91   100.00

#Monthly Income

## 
##                           Freq       %   % Cum.
## ----------------------- ------ ------- --------
##        10,000 and below     14   25.45    25.45
##        10,001 to 20,000      9   16.36    41.82
##       20,001 to 30, 000      9   16.36    58.18
##        30,001 to 40,000     17   30.91    89.09
##        40,001 to 50,000      3    5.45    94.55
##       50,001 and higher      3    5.45   100.00

#Type of Visitor

## pilgrimtour$Type 
##             n       missing      distinct         value 
##            55             0             1 Local Visitor 
##                         
## Value      Local Visitor
## Frequency             55
## Proportion             1

Number of Observations: 55

Descriptive Statistics

Variable N_NonMissObs Min Max Mean StdDev
DSP1 55 1 5 3.69 1.09
DSP2 55 2 5 3.98 0.80
DSP3 55 1 5 3.56 1.23
DSP4 55 1 5 3.89 1.10
DSP5 55 1 5 4.04 0.92
DSP6 55 1 5 3.49 1.26
DSP7 55 3 5 4.64 0.59
PR1 55 1 5 3.82 0.84
PR2 55 1 5 3.71 0.92
PR3 55 1 5 3.87 1.12
PR4 55 1 5 3.91 1.13
PR5 55 1 5 4.07 1.05
PR6 55 1 5 3.84 1.07
ADV1 55 2 5 4.29 0.83
ADV2 55 1 5 4.11 0.92
ADV3 55 1 5 3.85 1.16
ADV4 55 1 5 3.76 1.19
ADV5 55 1 5 3.65 1.04

Correlation Analysis using Cramer’s V

#Sex vs Price

## [1] 0.184482

#Sex vs Quality

## [1] 0.08781009

#Sex vs Package

## [1] 0.2993925

#Sex vs Spiritual Value

## [1] 0.1764187

#Age vs Price

## [1] 0.2759975

#Age vs Quality

## [1] 0.1138983

#Age vs Package

## [1] 0.1040313

#Age vs Spiritual Value

## [1] 0.1210623

#Status vs Price

## [1] 0.1809129

#Status vs Quality

## [1] 0.1943846

#Status vs Package

## [1] 0.243861

#Status vs Spiritual Value

## [1] 0.124172

#Education vs Price

## [1] 0.3299378

#Education vs Quality

## [1] 0.3462213

#Education vs Package

## [1] 0.3212499

#Education vs Spiritual Value

## [1] 0.3155175

#Address vs Price

## [1] 0.4188915

#Address vs Quality

## [1] 0.4160355

#Address vs Package

## [1] 0.08661936

#Address vs Spiritual Value

## [1] 0.2623719

#Income vs Price

## [1] 0.3338791

#Income vs Quality

## [1] 0.3448809

#Income vs Package

## [1] 0.349433

#Income vs Spiritual Value

## [1] 0.1723284

#Visitor Type vs Price

## [1] Inf

#Visitor Type vs Quality

## [1] Inf

#Visitor Type vs Package

## [1] Inf

#Visitor Type vs Spiritual Value

## [1] Inf