Assignment week 4 - 42 but our test showed it was statistically greater than 42 A type II error is incorrectly failing to reject the null

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The video game satisfaction rating case recalls that "very satisfied" customers give the XYZ-Box video game system a rating  that is at least .42. Suppose that the manufacturer of the XYZ-Box wishes to use the random sample of 65 dissatisfaction  ratings to provide evidence supporting the claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42. A  Letting u represent the mean composite satisfaction rating for XYZ-Box, set up the null and alternating hypotheses needed if  we wish to attempt to provide evidence supporting the claim that u exceeds 42. B. In the context of this situation, interpret  making a type I error; interpret making a type II error. a. H0: mu = 42 HA: mu > 42 b. A type I error is incorrectly rejecting the null hypothesis. So this would be if the mean were actually equal to (or less than) 
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Unformatted text preview: 42, but our test showed it was statistically greater than 42. A type II error is incorrectly failing to reject the null hypothesis. This would be if the mean were actually greater than 42, but our test failed to show that it was statistically greater. How do we decide whether to use a z test or a t test when testing a hypothesis about a population mean z is used when the population standard deviation is known. When it is unknown but the sample size is greater than or equal to 30 we still use z. When the sample size is less than 30 and the population standard deviation is unknown we need to use t....
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This note was uploaded on 11/12/2010 for the course FINANCE bus401 taught by Professor Smith during the Spring '10 term at Ashford University.

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