According to a popular wedding magazine, the mean cost of flowers for a wedding is $750. Recently, in a random sample of 45 weddings in the US it was found that the average cost of the flowers was $734, with a standard deviation of $102. On the basis of this, a 90% confidence interval for the mean cost of flowers for a wedding is $701 to $767. Choose the statement that is the best interpretation of the confidence interval.
Select one:
a. In about 90% of all samples of size 45, the resulting confidence interval will contain the mean cost of flowers at weddings in the US.
b. The probability that the flowers at a wedding in the US will cost more than $698 is greater than 10%.
c. The probability that flowers at a wedding will cost less than $767 is nearly 100%.
d. There is a 90% chance that the mean cost of flowers at a wedding in the US is between $701 and $767.
e. We are extremely confident that the mean cost of flowers at a wedding in the US is between $701 and $767.
Solution:
Given: A random sample of 45 weddings in the US it was found that the average cost of the flowers was $734, with a standard deviation of $102.
On the basis of this, a 90% confidence interval for the mean cost of flowers for a wedding is $701 to $767.
We have to interpret the confidence interval:
Confidence interval is an interval estimate of population parameter ( in this case parameter is Mean).
If we obtain 100 samples of sample size n or if we repeat an experiment 100 times of sample size n, then 90% confidence interval means 90 intervals out of 100 intervals would contains true population parameter value.
90% confidence interval does not mean that probability or chance.
Thus correct answer is:
a) In about 90% of all samples of size 45, the resulting confidence interval will contain the mean cost of flowers at weddings in the US.
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