Question.183 - Assignment 2: T-Test By Wednesday, February 27, 2013, post your assignment to the M2: Assignment 2 Dropbox. 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. Salary Level Female HR Directors Male HR Directors $50,000 $58,000 $75,000 $69,000 $72,000 $73,000 $67,000 $67,000 $54,000 $55,000 $58,000 $63,000 $52,000 $53,000 $68,000 $70,000 $71,000 $69,000 $55,000 $60,000 *Do not forget what we all learned in high school about “0”s Assignment 2 Grading Criteria Maximum Points Calculate the “t” value and set up the posting as required. 15 Developed an appropriate research question. 15 Developed an appropriate testable hypothesis based on the research question. 15 Selected an appropriate confidence level and accurately stated the degrees of freedom along with the required critical value for “t.” 25 Drew the appropriate conclusion. 15 The posting was free of all grammatical and spelling errors. 15 Total: 100
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The xxxx for xxx given xxxxxxxx is xxxx Salary xxxxx Female xx Directors xxxx HR xxxxxxxxx Do xxx forget xxxx we xxx learnt xx high xxxxxx about xxxxx rdquo x nbsp xxxx As xx know xxxxxx is xxxx to xxxxxxxxx the xxxxxxxxxxx differences xxxxxxx two xxxxxxxx Step xxxxxxxx hypothesis xx we xxxx research xxxxxxxxxx states xxx expected xxxxxxxxxxxx between xxxxxxxx Here xxx two xxxxxxxx are xxx salaries xx female xx and xxxx HR xxx research xxxxxxxxxx is xxxx the xxxxxxxx payable xx dependent xx gender xxxx Step xxxx hypothesisAs xx know xxxx hypothesis xxxxxx that xx relationship xxxxxx between xxx entities xxx null xxxxxxxxxx is xxxx the xxxxxxxx payable xx not xxxxxxxxx on xxxxxx i x there xx no xxxxxxxxxxx difference xxxxxxx the xxxxxxxx of x Female xx and x Male xx nbsp xxxx Determining xxx t-value xxx data xxxxxxxx are xxxxx above xxx the xxxxxx of xxxxxxx of xxxxxxxx of xxxxxx HR xx n xxx the xxxxxx of xxxxxxx of xxxxxxxx of xxxx HR xx n xxxx n xxx n xxx the xxxxxxxx of xxxxxx HR xxxx Sum xx squares xx individual xxxxx say x Square xx mean xxx the xxxxxxxx of xxxx HR xxxx Sum xx squares xx individual xxxxxx say x Applying xxx the xxxxxxx the xxxxxxx is xxxxxxxxxx The xxxxxxx is x Since xx take xxxx absolute xxxxx so xxx value xx t xx Step xxxxxxxxxxx the xxxxxxxxx valueAs xx know xxxxxx of xxxxxxx is xxxxxxxxxx as x n x Here xxxxxx of xxxxxxx is xxx degree xx freedom x edf x P x and x Since xxx calculated xxxxxxx is xxxx than xxx tabulated xxxxx so xxx null xxxxxxxxxx is xxxxxxx nbsp xxxx nbsp xxxxxxxxxx Since xxx calculated xxxxx is xxxx than xxx tabulated xxxxx at x so xxx salaries xx female xx is xxxxxxxxxxxxx same xx the xxxxxxxx of xxxx HR xxx t-value xx less xxxx the xxxxxxxxx value xx all xxx probabilities xxxxx nbsp xx at x we xxx say xxxx The xxxxxxxx of xxxxxx HR xx very xxxxxx similar xx the xxxxxxxx of xxxx HR xxx by xxxxxxxxxx we xxxx the xxxxx at x nbsp xx we xxx say xxxx the xxxxxxxx of xxxxxx HR xx significantly xxxxxxx to xxx Salaries xx Male xx nbsp xxxx nbspMore Articles From Maths
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