In: Statistics and Probability
A bottled water distributor wants to estimate the amount of
water contained in 1-gallon bottles purchased from a nationally
known water bottling company. The water bottling company's
specifications state that the standard deviation of the amount of
water is equal to 0.02 gallon. A random sample of 50 bottles is
selected, and the sample mean amount of water per 1-gallon bottle
is 0.995 gallon. Complete parts (a) through (d).
a. Construct a 95% confidence interval estimate for the population mean amount of water included in a 1-gallon bottle
? ≤ μ ≤ ?
(Round to five decimal places as needed.)
b. On the basis of these results, do you think that the distributor has a right to complain to the water bottling company? Why?
(Yes or No), because a 1-gallon bottle containing exactly 1-gallon of water lies (outside or within) the 95% confidence interval.
c. Must you assume that the population amount of water per bottle is normally distributed here? Explain. (Choose the answer below)
A. Yes, because the Central Limit Theorem almost always ensures that overbarX is normally distributed when n is large. In thiscase, the value of n is small.
B. No, because the Central Limit Theorem almost always ensures that overbarX is normally distributed when n is large. In thiscase, the value of n is large
C. No, because the Central Limit Theorem almost always ensures that overbarX is normally distributed when n is small. In thiscase, the value of n is small.
D. Yes, since nothing is known about the distribution of thepopulation, it must be assumed that the population is normally distributed.
d. Construct a 90% confidence interval estimate. How does this change your answer to part (b)?
? ≤ μ ≤ ?
(Round to five decimal places as needed.)
How does this change your answer to part (b)?
A 1-gallon bottle containing exactly 1-gallon of water lies (outside or within) the 90% confidence interval. The distributor (still has or now has or now does not have or still does not have) a right to complain to the bottling company.
a)
sample mean 'x̄= | 0.995 |
sample size n= | 50.00 |
std deviation σ= | 0.02 |
std error ='σx=σ/√n= | 0.0028 |
for 95 % CI value of z= | 1.96 | |
margin of error E=z*std error = | 0.006 | |
lower bound=sample mean-E= | 0.98946 | |
Upper bound=sample mean+E= | 1.00054 |
95% confidence interval =(0.98946 , 1.00054)
b)
No because a 1-gallon bottle containing exactly 1-gallon of water lies within the 95% confidence interval.
c_) B. No, because the Central Limit Theorem almost always ensures that overbarX is normally distributed when n is large. In thiscase, the value of n is large
d_)
for 90 % CI value of z= | 1.64 | |
margin of error E=z*std error = | 0.005 | |
lower bound=sample mean-E= | 0.99035 | |
Upper bound=sample mean+E= | 0.99965 |
90% confidence interval =(0.99035 , 0.99965)
A 1-gallon bottle containing exactly 1-gallon of water lies outside the 90% confidence interval. The distributor now has a right to complain to the bottling company.