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Unformatted text preview: een the H0 and the data. The formula for the test statistic will vary between different types of problems. In problems like those we studied in Chapter 6, the test statistic will be the Z‐score. STEP 3: Draw a picture of what Ha looks like, and find the P‐value. P‐value: the probability, computed assuming that H0 is true, that the test statistic would take a value as extreme or more extreme than that actually observed due to random fluctuation. It is a measure of how unusual your sample results are. The smaller the P‐value, the stronger the evidence against H0 provided by the data. Calculate the P‐value by using the sampling distribution of the test statistic (only the normal distribution for Chapter 6). STEP 4: Compare your P‐value to a significance level. State your conclusion about the data in a sentence. Compare P‐value to a significance level, . If the P‐value , we can reject H0. If you can reject H0, your results are significant. If you do not rej...
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This note was uploaded on 10/09/2012 for the course STAT 301 taught by Professor Staff during the Spring '08 term at Purdue UniversityWest Lafayette.
 Spring '08
 Staff
 Statistics

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