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Hypothesis Testing & Variance - Research Paper Example

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Using T test, it was found that gender does not affect intrinsic job satisfaction and that position does not affect extrinsic job satisfaction.
Employee job satisfaction is among a manager’s important concerns. This…
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Hypothesis Testing & Variance
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Download file to see previous pages T test was conducted to determine if there is a difference in the intrinsic satisfaction of male and female employees. Table 1 shows that the p value is 0.40 which is greater than alpha. Therefore, there is no sufficient evidence to reject the null hypothesis and conclude that female employees have a higher intrinsic job satisfaction than male employees. Specifically, there is no significant difference in the intrinsic job satisfaction of males (Mean=5.14, Variance=0.61) and females (Mean=5.31, Variance=0.21), t = - 0.86, n. s.
This information shows that males and females have the same intrinsic satisfaction. Therefore, managers may not need to favor one worker over the other based on their gender because internal motivation and satisfaction is just the same for both males and females.
T test was conducted to determine if there is a difference in the extrinsic satisfaction of hourly and salaried employees. Table 2 shows that the p value is 0.61 which is greater than alpha. Therefore, there is no sufficient evidence to reject the null hypothesis and conclude that salaried employees have a higher intrinsic job satisfaction than hourly employees. Specifically, there is no significant difference in the extrinsic job satisfaction of hourly (Mean=5.38, Variance=0.18) and salaried employees (Mean=5.48, Variance=0.36), t = - 0.52, n. s.
Results of this investigation show that an employee’s position does not affect his or her extrinsic job satisfaction. Thus, managers do not need to hire more salaried employees (which will cost the company a higher compensation package) than hourly employees since paid overtime does not seem to be a factor in their job satisfaction.
The Z test and the T test both aim to find if there is a significant difference in the mean values of two samples. However, the Z test makes use of the population’s variance and this value is almost never known thus, most researches use ...Download file to see next pagesRead More
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