Ho: μ > 32 H1: μ < 32
Type I error is rejecting the null hypothesis when actually it is true. So it is deciding that packages are less than 32 ounces when actually they are greater than 32 ounces.
Type II error is failing to reject the null hypothesis when actually it is false. So it is deciding that packages are at least 32 ounces when actually they are less than 32 ounces.
Ho: σ = 0.7 H1: σ < 0.7
Type I error is rejecting the hypothesis when actually it is true. True variabiity is 0.7
Type II error is failing to reject that the variability in the pressure required is 0.7 psi, when the variability is less than 0.7 psi.
No: a=54 N1: a>54
a-54, the mean consumption of popcorn annually by Americans is 54 quarts
type 2 error 5%
Ho P=0.028 H1 P>0.028
no sufficient evidence to conclude
Type 2 Error, cause counselor conclude figure is 0.028, when,in fact,it’s higher, failere to reject.