how to use the calculations to determine the null hypothesis

 

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. Any conclusion drawn for the t-test statistical process is only as good as the research question asked and the null hypothesis formulated. T-tests are only used for two sample groups, either on a pre post-test basis or between two samples (independent or dependent). The t-test is optimized to deal with small sample numbers which is often the case with managers in any business. When samples are excessively large the t test becomes difficult to manage due to the mathematical calculations involved.

Calculate the “t” value for independent groups for the following data using the formula presented in the module. Check the accuracy of your calculations. Using the raw measurement data presented above, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a research question, testable hypothesis, confidence level, and degrees of freedom. Draw the appropriate conclusions with respect to female and male HR salary levels. Report the required “t” critical values based on the degrees of freedom. Your response should be 2-3 pages.

Sheet1

Group1 Group2

0

0

10

62200 63700

67,000

2

58,000

69,000

55,000

18

Group1 Group2 Statistic
50,000 58,000 Sum 62200 63700
75,000 69,000 Count 10
72,000 73,000 Mean
67,000 Variance 87066666.6666667 47788888.8888889
54,000 55,000 Standard Deviation 9330.952077

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18 6912.9508090893
63,000 Pooled Variance 67427777.7777778
52,000 53,000 Pooled Standard Deviation 8211.4418817756
68,000 70,000 Mean Difference -1500
71,000 Standard Error of Mean Difference 3672.2684481878
60,000 df
t obtained -0.4084668703
one-tailed probability 0.344
two-tailed probability 0.688
Cohen’s d 0.1826719377
Lower Limit Upper Limit
95% Confidence Interval for Mean Diff. -9215.1497204795 6215.1497204795

Remove any pre-existing data and enter two groups of observations in the green-shaded data
entry areas in columns A and B, starting with cells A2 and B2. The worksheet is programmed
to conduct an independent-samples t test assuming equal variances. The worksheet is protected to keep the user from changing the formulas.
This template is copyright © 21010, Larry A. Pace, Ph.D. All rights are reserved. Permission for
personal and educational use is freely granted.

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