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Terms in Hypothesis Testing

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What are some terms related to hypothesis testing that you are already familiar with? Why do a null and alternative hypothesis have to be mutually exclusive?

When would you accept the null hypothesis? Can you give an example of this?

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Solution Summary

This posting discusses null and alternative hypothesis, test statistics, critical values and t-tests.

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Here is an example of how to complete hypothesis testing, which will go over some terms that are used such as critical value, level of significance and t-score

Data states that the average age of college Juniors is 18.5 years old. We want to test to see if this is accurate for university xyz, since the new students on campus seem to look very young.

Our null hypothesis would be:
Ho: The average age of students is 18.5 (u=18.5)

Our alternative would be:
Ha: The average age of students is less than 18.5 (u < 18.5)

The null and alternative must be mutually exclusive (i.e. don't overlap) for this reason:

- the formulation of two mutually exclusive hypothesis ...

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