Project #90761 - Hypothesis Testing

Real World Application_Week 9 Assignment
Hypothesis Tests


Statisticians follow a formal process to determine whether to reject a null
hypothesis, based on sample data. This process, called hypothesis testing,
consists of four steps.


State the hypotheses. This involves stating the null (there is no
cause-effect relationship between the independent variable and the
dependent variable) and alternative hypotheses (there is a cause-effect
relationship between the independent and dependent variable) . The
hypotheses are stated in such a way that they are mutually exclusive. That
is, if one is true, the other must be false.


Formulate an analysis plan. The analysis plan describes how to use sample
data to evaluate the null hypothesis. The evaluation often focuses around a
single test statistic.


Analyze sample data. Find the value of the test statistic (mean score,
proportion, t-score, z-score, etc.) described in the analysis plan.


Interpret results. Apply the decision rule described in the analysis plan.
If the value of the test statistic is unlikely, based on the null
hypothesis, reject the null hypothesis


RW 10 explores hypothesis testing in more detail. The Important thing is
that ONLY ONE HYPOTHESIS is tested in an experiment.





Example of Hypothesis Testing


Recently I was part of a grant writing team for my home school requesting
funds for an online advisor (Bellevue University has several). The null
hypothesis is that an online advisor would make no difference in student
persistence (students enrolled in fall semester enroll in spring semester).
The alternate hypothesis is that an online advisor will improve the student
persistence between fall and spring semester.

Subject Business
Due By (Pacific Time) 11/03/2015 03:00 pm
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