Busn311-Quantitative Methods and Analysis -Apa Format
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Unit 4 – Hypothesis Testing & Variance
Type your Name Here
American InterContinental University
Abstract
Intrinsic factors about job satisfaction were analyzed to determine if there was any correlation between genders and extrinsic factors about job satisfaction were analyzed to determine if there was any correlation between hourly vs. salaried workers. There was not enough evidence to conclude the former, but there was for the latter.
Introduction
The lesson required the student to use statistics to formulate hypotheses about office job satisfaction surveys and then test them to see if those same hypotheses should be rejected. The student was required to use Excel to conduct t tests, calculate test statistics and critical values. Finally, the student had to interpret the statistical results to make observations for an office manager.
Hypothesis Test #1 Looking at Intrinsic Satisfaction by Gender
Null and alternate hypotheses.
( = .05)
The test
A separate F test was conducted to confirm that the sample variances (S12 and S22) were equal. From this result, the two-tailed Student’s t test was done with a pooled estimate for the standard deviation, SP (Johnson, 1976). Using Excel’s TTEST function, the probability that the populations have the same mean intrinsic job satisfaction was 0.51.
The significance level () was given as 0.05. The test statistic t was computed to be -0.6545. Using Excel’s TINV function with 31 degrees of freedom and a probability of 0.05, the critical value for t was found to be 2.039.
State your decision
The analysis indicates that I should fail to reject the null hypothesis statement. Explanation of decision made
The test statistic (t= -0.6545) is in the rejection region (T>2.039), therefore, do not reject the null hypothesis.
Applications for managers
The manager should feel confident that the office environment is not causing one gender to enjoy/dislike the job more than the other. The information is...
Type your Name Here
American InterContinental University
Abstract
Intrinsic factors about job satisfaction were analyzed to determine if there was any correlation between genders and extrinsic factors about job satisfaction were analyzed to determine if there was any correlation between hourly vs. salaried workers. There was not enough evidence to conclude the former, but there was for the latter.
Introduction
The lesson required the student to use statistics to formulate hypotheses about office job satisfaction surveys and then test them to see if those same hypotheses should be rejected. The student was required to use Excel to conduct t tests, calculate test statistics and critical values. Finally, the student had to interpret the statistical results to make observations for an office manager.
Hypothesis Test #1 Looking at Intrinsic Satisfaction by Gender
Null and alternate hypotheses.
( = .05)
The test
A separate F test was conducted to confirm that the sample variances (S12 and S22) were equal. From this result, the two-tailed Student’s t test was done with a pooled estimate for the standard deviation, SP (Johnson, 1976). Using Excel’s TTEST function, the probability that the populations have the same mean intrinsic job satisfaction was 0.51.
The significance level () was given as 0.05. The test statistic t was computed to be -0.6545. Using Excel’s TINV function with 31 degrees of freedom and a probability of 0.05, the critical value for t was found to be 2.039.
State your decision
The analysis indicates that I should fail to reject the null hypothesis statement. Explanation of decision made
The test statistic (t= -0.6545) is in the rejection region (T>2.039), therefore, do not reject the null hypothesis.
Applications for managers
The manager should feel confident that the office environment is not causing one gender to enjoy/dislike the job more than the other. The information is...