State the hypotheses. Describe a Type I and Type II error in the context of the problem and a consequence of each. Determine which type is most serious. State whether alpha should be set high or low (based on whether or not you feel a Type I error is the most serious or not). A manufacturer is testing light bulbs in the quality assurance lab. Each bulb receives a durability score. 100 bulbs from each production run are analyzed. If 11 or more are found to be defective, the entire run of bulbs is discarded. Discarding a run costs the company $28,000.
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