HW10 Skeleton

10.1

• 1. Hypothesis
• 2. Hypothesis testing
• 3. Null hypothesis
• 4. Alternative hypothesis
• 5. Type I error
• 6. Type II error
• 7. Level of significance
• 8. True
• 9. Right-tailed, parameter is mue
• 10. Left tailed, parameter is p
• 11. Two-tailed, parameter is sigma

 

18. 1. H0: p = 32, H1: p > 32

    2. Type I error would be be that a customer accuses the factory for underfilling peanutbutter jars, when in fact, the jars are full with 32 oz.

    3. Type II error would be that a customer thinks the factory filled the jars the right amount, when in fact, the jars are underfilled.

19. 1. H0: sigma = 0.7, H1: sigma < 0.7 psi

    2. Type I error would be that the pressure has been reduced to below 0.7, when in reality, the pressure has not been reduced below 0.7

    3. Type II error would be that there was no accusation of pressure going below 0.7, when the pressure did go below 0.7

 

36. 1. H0: m = 54, H1: m > 54

    2. A campaign raised the mean popcorn eaten by Americans to above 54 quarts per year

    3. Type I error was made. 95% chance of making a type I error.

37. 1. H0: p = 0.028, H1: p > 0.028

    2. There is no proof that more than 2.8% of the students use e-cigs

    3. Type II error, because the null hypothesis was not rejected