Edward C. answered 03/25/15
Tutor
New to Wyzant
A 90% confidence interval for μ is given by
x +- (z*)*σ/sqrt(n) where
x = x bar = sample mean
z* = critical z-value for 90% = 1.645 from Z-table since P(Z<-1.645) = 0.05 and confidence interval is two sided
σ = population standard deviation = 0.85 ounces
n = number of samples
You want the margin of error (this is the part of the confidence interval after the +- sign) to be within 0.25 ounces, so
1.645*0.85/sqrt(n) <= 0.25
sqrt(n) >= 1.645*0.85/0.25 = 5.593
n >= 31.3
So n = 32 is the minimum number of samples
To get the tolerance within 0.15 ounces requires
sqrt(n) >= 1.645*0.85/0.15 ~ 9.3217
n >= 86.9
So n = 87 samples would be required
To get the tolerance to 0.15 requires more samples because you are trying to get a better estimate of the population mean