Submitted by: Submitted by alexandertg4
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Category: Business and Industry
Date Submitted: 10/30/2010 12:03 PM
The research team performs a five-step hypothesis test to ensure the hypothesis statement chosen will accomplish the importance and goal of the research study. The first step is to identify the research question. The research team has formed the research question regarding the inequality of compensation rates between men and women. The research question was formed using a combination of each researcher’s personal and professional experiences. Public perceptions via media outlets are commonly used as a tool to communicate uncertainties. The research team has set out to achieve a greater understanding of the relationship between the compensation rates of men and women with the same level of education.
The second step of the hypothesis testing process is to “formulate a testable hypothesis” (Doane & Seward, 2007). The research team has selected a data sample of 100 respondents. The sample consists of compensation rates, education level and gender amongst other general information. The hypothesis chosen by the research team is: Women with the same education level as men are not compensated equally in their salaries. The research team agrees the hypothesis is appropriate for the data available and the team’s initial hunch has initiated a research study. As stated before the null hypothesis will be that women with equal experience will receive a smaller salary than men with a similar educational background. If the null hypothesis is proven to be false the alternative hypothesis will be that women and men are compensated equally with similar educational backgrounds.
The third step of the hypothesis testing process is for the research team to determine the rejection area. The rejection area chosen is using a .01 level of significance. The degrees of freedom used for calculating the test statistic is 4 (5-1) which declares the students t-value sub .005 or rejection parameter to be 4.604 for a two-tailed test. The decision rule is to reject the null hypothesis if t ...