Discovering statistics larose brief edition

Step 1: State the hypotheses. Step 2: Find Zcrit and state the rejection rule. Step 3: Calculate Zdata: Step 4: State the conclusion and the interpretation.

If Zdata falls in the critical region, then reject H 0, otherwise do not reject H 0. The pvalue is a measure of how well or how poorly the data fit the null hypothesis. The p-Value Since a p-value is based on the value of Zdata, it tells us whether or not Zdata is an extreme value.

Unusual and extreme values of the sample mean, and therefore of Zdata will have a small p-value. Step 2: Calculate Zdata: Step 3: Find the p-value using technology or a table. Step 4: State the conclusion and the interpretation. Otherwise do not reject H 0. Assessing the Strength of Evidence Against the Null Hypothesis The hypothesis testing methods we have seen deliver a simple yes-orno conclusion to reject or not reject H 0. The p-value itself implicitly represents the strength of evidence against the null hypothesis.

When this occurs, we should use neither the Z interval or the Z test. Because there is a different t curve for every different sample size, you need to know the following in order to find the value of tdata.

Step 2: Find tcrit and state the rejection rule. Step 3: Calculate tdata: Step 4: State the conclusion and the interpretation. If tdata falls in the critical region, then reject H 0, otherwise do not reject H 0. Step 1: State the hypotheses and the rejection rule. Step 2: Calculate tdata: Step 3: Find the p-value with technology or a table. Use confidence intervals for p to perform two-tailed hypothesis tests about p.

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Since his days of collecting baseball cards as a youngster, Dan Larose has felt a lifelong passion for statistics. He has published three books on data mining, and is a consultant in statistics and data mining. His fondest wish is to impart a love of statistics to a new generation. Rental FAQs. Take notes, add highlights, and download our mobile-friendly e-books.

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