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Unformatted text preview: z table. If the test statistic is larger (either positively or negatively) than the critical value, reject H . Example : A production line is supposed to operate with a mean ﬁlling weight of 16 ounces per container. Overﬁlling or underﬁlling presents a serious prob-lem and when detected requires the operator to shut down the production line to readjust the ﬁlling mechanism. a. What are the hypotheses to be tested? b. If H is rejected, what course of action is required? Example : For the previous example, suppose a sample of 50 containers is taken. The sample average weight for the containers was 15.9 ounces. Past data suggests that σ = 1 . 0 ounces. Test the hypotheses from the previous example. Use α = 0 . 05. 2...
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- Fall '10
- Statistics, Null hypothesis, Statistical hypothesis testing, H0