Introduction
This is a t-test analysis paper based on AIU data set. A t-test was preferred because there were two samples whose means were to be compared. The paper contains a two tailed hypothesis test for intrinsic and extrinsic job satisfaction by gender and position. A two tailed hypothesis test is demonstrated by the alternative hypothesis which is non-directional (Rosenthal, 2012). Therefore, it has two critical values which show the ranges of non rejection region. For the purposes of this analysis the sample has been taken to be independent because each sample was separate from the other. Again, the variance of the samples has been assumed to be unequal. Microsoft Excel Data Analysis Tools has been used to calculate the t-statistic and t-critical values.
A Two Tailed Hypothesis Test on Intrinsic Job Satisfaction by Gender
Results
The significance level = 0.05
The t-statistic = 1.446362813
The t-critical = 1.973380848
Hypothesis
Null hypothesis: Ho: There is no significant difference in intrinsic job satisfaction between male and female employees
Alternative hypothesis: Ha: There is significant difference in intrinsic job satisfaction between male and female employees
Interpretation of results
The t-stat falls within do not reject the range of -1.97338084 and +1.97338084. Therefore the null hypothesis failed to be rejected. Consequently, there is no statistical difference in intrinsic job satisfaction between male and female employees.
Implications
There is enough statistical evidence at alpha 0.05 to support the null hypothesis that intrinsic job satisfaction does not differ among female and male employees. This implies that the male and female employees’ attitude towards their job is almost similar. In other words, they manifest same dislike or happiness with their responsibilities. Consequently, interventions aimed at raising intrinsic job satisfaction such as good communication, social support and cooperation should not be gender specific. Instead, all employees should receive equal attention with regards to their problems.
A Two Tailed Hypothesis Test on Extrinsic Job Satisfaction by Position
Results
The significance level = 0.05
The t-statistic = -1.449971338
The t-critical = 1.986674497
Hypothesis
Null hypothesis: Ho: There is no significant difference in extrinsic job satisfaction between hourly and salaried employees
Alternative hypothesis: Ha: There is significant difference in intrinsic job satisfaction between hourly and salaried employees
Interpretation of results
The t-stat falls within do not reject the range of -1.986674497 and +1.986674497. Therefore the null hypothesis fails to be rejected. Null hypothesis is not rejected if the calculated t-value fall within the non rejection region determined from the chosen level of significance (Weiers, Gray & Peters, 2011). Consequently, there is no statistical difference in extrinsic job satisfaction between hourly and salaried employees
Implications
There is enough statistical evidence at alpha 0.05 to support the null hypothesis that there is no significance difference in extrinsic job satisfaction between hourly and salaried employees. Meaning, they are all satisfied and dissatisfied equally by factors which include salaries, superiors and working conditions. Consequently, the working conditions ought to be improved for both hourly and salaried employees because they show no difference in their extrinsic satisfaction level.
References
Rosenthal, J. A. (2012). Statistics and data interpretation for social work. New York, NY: Springer.
Weiers, R. M., Gray, J. B., & Peters, L. H. (2011). Introduction to business statistics. Australia: South-Western Cengage Learning.
