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
Answer Below:
The xxxx for xxx given xxxxxxxx is xxxxxx Level xxxxxx HR xxxxxxxxx Male xx Directors xx not xxxxxx what xx all xxxxxx in xxxx school xxxxx s xx we xxxx t-test xx used xx determine xxx statistical xxxxxxxxxxx between xxx entities xxxx Research xxxxxxxxxx As xx know xxxxxxxx hypothesis xxxxxx the xxxxxxxx relationship xxxxxxx entities xxxx the xxx entities xxx the xxxxxxxx of xxxxxx HR xxx male xx Our xxxxxxxx hypothesis xx that xxx salaries xxxxxxx is xxxxxxxxx on xxxxxx 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 Step xxxxxxxxxxx the xxxxxxx The xxxx required xxx shown xxxxx Let xxx number xx samples xx salaries xx Female xx is x and xxx number xx samples xx salaries xx Male xx be x Here x and x For xxx Salaries xx Female xx Mean xxx of xxxxxxx of xxxxxxxxxx value xxx a xxxxxx of xxxx For xxx Salaries xx Male xx Mean xxx of xxxxxxx of xxxxxxxxxx values xxx b xxxxxxxx all xxx formula xxx t-value xx calculated xxx t-value xx - xxxxx we xxxx only xxxxxxxx value xx the xxxxx of x is xxxx Determining xxx tabulated xxxxxxx we xxxx Degree xx freedom xx calculated xx n x - xxxx Degree xx Freedom xx For xxxxxx of xxxxxxx i xxx P x P xxx P xxxxx the xxxxxxxxxx t-value xx less xxxx the xxxxxxxxx value xx our xxxx hypothesis xx correct 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 So xx p xx can xxx that xxx salaries xx Female xx is xxxx highly xxxxxxx to xxx Salaries xx Male xx but xx convention xx take xxx value xx p xx we xxx say xxxx the xxxxxxxx of xxxxxx HR xx significantly xxxxxxx to xxx Salaries xx Male xxMore Articles From Maths
.ico)
.ico)
.ico)
.ico)
