HW10 Skeleton

10.1

• 1. Hypothesis
• 2. Hypothesis testing
• 3. Null Hypothesis
• 4. Alternative Hypothesis
• 5. Type 1
• 6. Type 2
• 7. Level of significance
• 8. False
• 9. Right tailed, Parameter being testes is mu
• 10. Left tailed, parameter being testes is p
• 11. Two tailed, paramter being tested is sigma

18. 1. Null Hypothesis: Mu=32 ounces Alternate Hypothesis: Mu > 32 ounces

    2. A type 1 error would be rejecting the null hypothesis that a jar contains 32 ounces of Peanut butter when in fact there actually is 32 ounces

    3. A type 2 error would be to fail to reject the null hypothesis that thereis 32 ounces of peanut butter in a jar when in fact the alternate hypothesis of there being more than 32 ounces of peanute butter is true

19. 1. Null Hypothesis: Sigma=.7 psi Alternate hypothesis: sigma > .7 psi

    2. A type 1 error would be if the null hypothesis that the variability of valve pressure required is .7 psi was rejected when the real valve pressure is .7 psi

    3. A type 2 error would be if the null hypothesis of the valve pressure requriered of .7psi was failed to be rejected when in fact the alternate hypothesis of the real valve pressure required is less than .7 psi

 

36. 1. Null Hypothesis: mu= 54 quarts Alternative hypothesis > 54 quarts

    2. They should say they reject the null hypothesis of the mean consumption of popcorn annually by americans is 54 quarts

    3. A type 1 error has been committed here. We would say that the probability of making a type one error is less than .05.

37. 1. Null Hypothesis: P=.028 Alternate Hypothesis: p >.028

    2. There is not enough evidence to conclude that the proportion of students at this councelor’s high school who use E-cigs is above .028

    3. type 2. This is a type 2 because the null hypothesis was failed to be rejected when in fact the alternate hypothesis is actually true.