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Lesson 4: Inferential Statistics and Regression Modeling
5 Hypothesis Testing < Back | Next >
The second type of inferential statistics we discussed earlier was hypothesis testing. This is sometimes called statistical testing as well. In point estimation and in constructing a confidence interval we had no expectations about the values we calculated, where as in hypothesis testing we have formed some expectation about the population parameter.
Example

Our hypothesis is that tree mortality after a particular forest fire will be greater then 60%. In other words average tree mortality > 60%.

Once our notion of the population parameter has been developed, we can write two contradictory hypotheses. The first is the research hypothesis, which in our case is that the mean tree mortality > 60%. The second hypothesis is called the null hypothesis, and is the opposite of our research hypothesis. In our example the null hypothesis would be stated as the mean tree mortality is less than or equal to 60%.

LESSON 4
1 Overview
2 Inferential Statistics
3 Predicting Population
4 Using a confidence interval
5 Hypothesis Testing
6 One and Two Tailed Tests
7 Comparing the Means
8 ANOVA or Analysis of Variance
9 Multiple Comparison Procedures
10 Regression Models & Correlation
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