HW10 Skeleton

10.1

• 1. hypothesis
• 2. hypothesis testing
• 3. null hypothesis
• 4. alternative hypothesis
• 5. 1
• 6. 2
• 7. level of significance
• 8. false
• 9. right tailed population mean .
• 10. left tailed population proportion.
• 11. two tailed standard deviation .

 

18. 1. Ho µ = 32 ounces/ H1 µ < 32 ounces

    2. consumer rejects the hypothesis that the mean content = 32 ounces when it is actually 32 ounces

    3. consumer fails to reject the hypothesis that the mean content is 32 ounces when infact the mean content is less than 32 ounces

19. 1. Ho σ =.7 psi/ H1 σ<.7 psi

    2. we reject that the variability in the pressure required is .7 phi when the true variability is .7 phi

    3. we fail to reject that the variability in pressure required is .7 psi when the variability is less that .7 psi

 

36. 1. Ho: µ=54 H1:µ>54

    2. after a strong marketing campaign there is evidence to reject the null hypothesis. Thus it can be concluded that the mean consuption of popcorn by americans annually is greater than 54 quarts the previous mean consumption

    3. type 1 error. if tested at such a level there would be a .05 probability of comitting a type 1 error

37. 1. Ho: p=.0280 Ha: p>0.0280

    2. null hypothesis is not rejected. proporiton of high school students is higher than 2.8% result= not statically significant

    3. type 2 error when alternative hypothesis is higher than 2.8% is rejected when it is true committed