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.

Topic: STATISTICS
Order Description
Using the survey attached create fictitious people to conduct the survey. Before disseminating the surveys, please pre-code the data.

Perform the following:

1. Create a data file using an Excel worksheet. 2. Create a pie chart with percentages.
4. Compute a frequency table and histogram for each variable.

Using the information above, write a two-page paper explaining how the data will be analyzed. This section should begin with a brief introduction to the section and a description of the problem. You must also explain how the data will be coded and edited. Provide justification for the descriptive statistics that will be employed in the study.

You will only need to submit the paper for this assignment. Please do not include data, results, or graphical displays.