Monday, December 23, 2019
Use Of Inferential Statistics And Apply It For A Research...
The purpose of this assignment is to use inferential statistics and apply it to a research question. The research question consists of two variables, the first variable is gender and the second variable is knowledge about their target blood pressure. In order to analyze the two variables within a sample, the writer will go through seven hypothesis testing steps, with the results obtained a discussion of the finding will be provided, implications to research and nursing practice explored and lastly a discussion on demographic data from the previous assignment. Hypothesis Testing There are seven steps that will be used within this paper to test a hypothesis. These steps include the following; Step 1: which is stating the null hypothesis, stating the research hypothesis, identifying the target population and sample population, identifying the independent variable and dependent variable. Step 2: establishing the level of significance. Step 3: selecting a one-tailed or two-tailed test. Step 4: conducting the test and excel and providing the results as an excel output. Step 5: calculating the degree of freedom. Step 6: stating the critical value to exceed by the calculated test statistic. Lastly, Step 7: comparing the calculated test statistic and to the level of significance and making a decision about the results. The following steps will be explained in further detail below. Question One: Step 1 of Hypothesis Testing The Null Hypothesis A null hypothesis statementShow MoreRelatedStatistics Is Making Sense Of Common Data And Knowing When You Use Data Essay1611 Words à |à 7 Pageswill speak about what I wouldââ¬â¢ve learned about statistics if I had an instructor that was helpful and fostered the spread of education. Statistics is making sense of common data and knowing when you use data analysis techniques, and formulas while making connections between them. Statistics enables the collection, analysis, interpretation, presentation, and organization of data. 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