# Test1cKEY_Sp09 - Name_KEY 6 February 2009 IE330 Spring 2009...

This preview shows pages 1–3. Sign up to view the full content.

Name: _________________KEY___________________________ 6 February 2009 IE330 Spring 2009 Test 1c 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

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Name: _________________KEY___________________________ True or False questions (5 points each) 1. (True or False) α is defined as the probability that the hypothesis test conclusion will be wrong. 2. (True or False) β is defined as the probability that a type I 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 true. 4. (True or False) α is defined as the probability that the null hypothesis is rejected given that the null hypothesis is actually false. 5. ( True or False) For H0: µ = 50 vs. H1: µ < 50, if the null hypothesis is rejected at α = 0.05, then we can say that the null hypothesis would also be rejected at α = 0.10. Multiple choice questions (5 points each) 6. Suppose we choose two samples from a population. From the first sample we construct a 99% confidence interval around our estimate of mean, and from the second 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)? a.
This is the end of the preview. Sign up to access the rest of the document.

## 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.

### Page1 / 10

Test1cKEY_Sp09 - Name_KEY 6 February 2009 IE330 Spring 2009...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online