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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 lling weight of 16 ounces per container. Overlling or underlling presents a serious prob-lem and when detected requires the operator to shut down the production line to readjust the lling 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 = 1 . 0 ounces. Test the hypotheses from the previous example. Use = 0 . 05. 2...
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This note was uploaded on 01/24/2011 for the course STATISTICS 19897 taught by Professor Jager,abigaill during the Fall '10 term at Kansas State University.
- Fall '10