Hypothesis testing is the formal process used to accept or reject the statistical hypotheses. Two types of statistical hypotheses exist:
The null hypothesis annotated by Ho assumes sample observations are the result of purely random chance.
The alternative hypothesis annotated by Ha or H1 states that sample observations are the result of and are influenced by a non-random cause.
Review the following videos to gain a deeper understanding of hypotheses testing:
Khan Academy (n.d.). https://www.youtube.com/watch?v=-FtlH4svqx4
Perdiscotv.com (2010). https://www.youtube.com/watch?v=HmMjS88eSVE
Now it is time to test your hypothesis. You will interpret the results from your statistical analysis and decide if the results support or reject your hypothesis.
In this assignment you will:
Test your hypothesis with the results of your statistical analysis.
Support your acceptance or rejection of the hypothesis with a detailed explanation.
Submit your research document as a draft with an abstract, introduction, problem statement, research question, hypothesis, and results from your statistical tests.
Selects appropriate statistical tool for hypothesis. • Provides brief explanation supporting selection of tool. • Incorporates an abstract, introduction, problem statement, research question, hypothesis, and results from your statistical tests.
Attached is the part one with problem statement, research question and hypothesis
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