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7.1 - Introduction to Hypothesis Testing | STAT 500

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The second type of inference method - confidence intervals was the first, is hypothesis testing. A hypothesis, in statistics, is a statement about a population where this statement typically is represented by some specific numerical value. In testing a hypothesis, we use a method where we gather data in an effort to gather evidence about the hypothesis.

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7.2 - Terminologies, Type I and Type II Errors for Hypothesis Testing | STAT 500

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When doing hypothesis testing, two types of mistakes may be made and we call them Type I error and Type II error.

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7.3 - Decision Making in Hypothesis Testing | STAT 500

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As mentioned previously in this lesson, the logic of hypothesis testing is to reject the null hypothesis if the sample data are not consistent with the null hypothesis. Thus, one rejects the null hypothesis if the observed test statistic is more extreme in the direction of the alternative hypothesis than one can tolerate.

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7.6 - Using Software for Hypothesis Testing | STAT 500

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Using Minitab, we would select Stat > Basic Stat > 1 Proportion. Choose the summarized data option and enter 278 for "Events" and 500 as the "Trials". Check the box for Perform Hypothesis Test and enter the null value of 0.5 Click Options.

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Make sure to watch all 4 videos

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Sal walks through an example about a neurologist testing the effect of a drug to discuss hypothesis testing and p-values.

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Student survey - Hypothesis Testing Project

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Please give your own feedback on this project