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TABLE3.20
CHI-SQUARE TEST
AGE AND LEVEL OF SATISFACTION
Factor Calculated value Table value Degree of freedom Significant level
Age 5.0834 12.5916 6 5%
Null Hypothesis (Ho): There is no relationship between age and level of satisfaction
Alternative Hypothesis (H1): There is close relationship between age and level of
satisfaction.
INFERENCE
The above analysis reveals that the calculated value (5.0834) is
lower than table value (12.5916) therefore null hypothesis (Ho) is accepted. Hence
there is no significant relationship between age and level of satisfaction.
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TABLE3.25
CHI-SQUARE TEST
GENDER AND LEVEL OF SATISFACTION
Factor Calculated value Table value Degree of freedom Significant level
Gender 6.2500 5.9915 2 5%
Null Hypothesis (Ho): There is no relationship between gender and level of
satisfaction.
Alternative Hypothesis (H1):There is close relationship between gender and level of
satisfaction.
INFERENCE
The above analysis reveals that the calculated value (6.2500) is
higher than the table value (5.9915) so the null hypothesis is rejected. Hence there
is a close relationship between gender and level of satisfaction in price.
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TABLE2.27
CHI-SQUARE TEST
PROFESSIONAL QUALIFICATION AND LEVEL OF SATISFACTION
Factor Calculated value Table value Degree of freedom Significant level
Professionalqualification
5.0551 12.5916 6 5%
Null Hypothesis (Ho):There is no relationship between professional qualification and
level of satisfaction.
Alternative Hypothesis (H1): There is close relationship between professional
qualification and level of satisfaction.
INFERENCE
The above analysis reveals that the calculated value (5.0551) is
lower than the table value (12.5916) therefore the null hypothesis (Ho) is accepted.
Hence there is no significant relationship between professional qualification and
level of significant in price.
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TABLE2.29
CHI-SQUARE TEST
OCCUPATIONAL STATUS AND LEVEL OF SATISFACTION
Factor Calculated value Table value Degree of freedom Significant
level
Occupation
status and
price
0.8863 12.5916 6 5%
Null Hypothesis (Ho):There is no relationship between Occupational status and level
of satisfaction in price.
Alternative Hypothesis (H1):There is close relationship between Occupational status
and level of satisfaction.
INFERENCE
The above analysis reveals that the calculated value (0.8863) is
lower than the table value (12.5916) therefore null hypothesis (Ho) is accepted.
Hence there is no significant relationship between Occupational status and level of
satisfaction in price.
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