Wk 6 Discussion 2 - Hypothesis Testing [due Sat]

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Wk 6 Discussion 2 - Hypothesis Testing [due Sat] Due Saturday Refer to the research question and hypotheses you created in Week 1. Write a 250- to 300-word response to the following: Discuss each of the 5 steps in hypothesis testing as it relates to your data. Note : You will only need to explain steps 4 and 5 in general, but steps 1-3 should be fairly specific to your data. Revised Research Question : Is there a relationship between socioeconomic status, sex of the respondent, and completing a bachelor’s degree or higher Hypothesis : There is a relationship between socioeconomic status, sex of the respondent, and completing a bachelor’s degree or higher Null Hypothesis : There is no relationship between socioeconomic status, sex of the respondent, and completing a bachelor’s degree or higher Step 1: Write hypotheses The hypotheses will depend on the research question. The null hypothesis will always contain the equalities and the alternative hypothesis will be that at least one population proportion is not as specified in the null. Statistical hypothesis testing provides a rigorous framework for using data to provide evidence for or against claims. The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research
outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039193/ Step 2: Compute the test statistic week 3 Put simply, a test statistic quantifies a data sample. In statistics the term ‘statistic’ refers to any mapping (or function) between a data sample and a numerical value. Popular examples are the mean value or the variance . A test statistic assumes a central role in a hypothesis test because by deciding which test statistic to use one determines a hypothesis test to a large extend. The reason is that it will enter the hypotheses we formulate in step 2. For this reason one needs to carefully select a test statistic that is of interest and importance for the conducted study. Step 3: Determine the p-value – THIS WAS THE T TESTING Step 4: Make a decision Step 5: State a real-world conclusion https://www.mdpi.com/2504-4990/1/3/54 https://online.stat.psu.edu/stat200/book/export/html/226 https://www.adamnsmith.com/MSIN0010/hypothesis-tests.html
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