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Unformatted text preview: Name: _____________KEY_______________________________ 6 February 2009 IE330 Spring 2009 Test 1b No calculators, closed book, closed notes. Do not tear off any pages. Once you are finished, turn in the test and leave quietly. 1 of 10 Name: _____________KEY_______________________________ True or False questions (5 points each) 1. (True or False) is defined as the probability that a type II error could be made. 2. ( True or False) is defined as the probability that a type II error could be made. 3. ( True or False) Power is defined as the probability that the null hypothesis will be rejected given that the null hypothesis is false. 4. (True or False) is defined as the probability that the null hypothesis will not rejected given that the null hypothesis is actually false. 5. (True or False) For H0: = 50 vs. H1: 50, if the null hypothesis is rejected at = 0.05, then we can say that for H0: = 50 vs. H1: < 50, the null hypothesis would also be rejected. Multiple choice questions (5 points each) 6. Suppose we choose two samples from a population. From one sample we construct a 99% confidence interval around our estimate of mean, and from the other sample we construct a 95% confidence interval around our estimate of mean. Which of the following can we say about the two confidence intervals (Choose all that are true)?...
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This note was uploaded on 09/12/2011 for the course INDUSTRIAL 201 taught by Professor Jake during the Spring '11 term at Northeast Wisconsin Technical College.
 Spring '11
 Jake

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