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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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