Significant Impact Of Age On Customer Experience

Hypothesis:
The following are the null and alternate hypothesis that were to be tested in the study:
H01: There is a significant impact of Gender on Customer Experience
Ha1: There is no significant impact of Gender on Customer Experience
H02: There is a significant impact of Age on Customer Experience
Ha2: There is no significant impact of Age on Customer Experience
H03: There is a significant impact of Occupation on Customer Experience
Ha3: There is no significant impact of Occupation on Customer Experience
H04: There is a significant impact of Annual Income on Customer Experience
Ha4: There is no significant impact of Annual Income on Customer Experience
Sampling:
Consecutive and Snow ball sampling technique is used for the quantitative research for survey research and data collection.
Glenn D Israel (1992) quoted formula of W G Cochran (1963:75) as below:

Where,

n = required sample size;
Deviation Std. Error 95% Confidence Interval for Mean Min Max Lower Bound Upper Bound
< 20 65 3.1846 1.13044 .14021 2.9045 3.4647 1.00 5.00
21-30 88 3.3068 1.16814 .12452 3.0593 3.5543 1.00 5.00
31-40 70 2.8714 1.28448 .15353 2.5652 3.1777 1.00 5.00
41-50 58 3.2069 1.25319 .16455 2.8774 3.5364 1.00 5.00
51-60 74 2.9595 1.20999 .14066 2.6791 3.2398 1.00 5.00
>61 67 3.0299 1.08670 .13276 2.7648 3.2949 1.00 5.00
Total 422 3.0972 1.19283 .05807 2.9830 3.2113 1.00 5.00

Table 1 Descriptive Statistics Age on Customer Experience Scores
The below table provides the results of Test of Normality:
Age Skewness Std Error z-value Kurtosis Std Error z-value
< 20 -0.175 0.297 -0.58923 0.678 0.586 1.156997
21-30 -0.493 0.257 -1.91829 -0.347 0.508 -0.68307
31-40 0.48 0.287 1.672474 -1.106 0.566 -1.95406
41-50 -0.241 0.314 -0.76752 -0.837 0.618 -1.35437
51-60 -0.207 0.279 -0.74194 -0.923 0.552 -1.6721
> 61 -0.28 0.293 -0.95563 -0.615 0.578