Duplicate Question
The question on this page has been marked as a duplicate question.
Original Question
A random sample of 16 mid-sized cars tested for fuel consumption gave a mean of 26.4 kilometers per liter with a standard devia...Asked by John
A random sample of 16 mid-sized cars tested for fuel consumption gave a mean of 26.4 kilometers per litre with a standard deviation of 2.3 kilometers per litre.
(a)Assuming that the kilometers per litre given by all mid-sized cars have a normal distribution,find a 99% confidence interval for the population mean μ.
(b)Suppose the confidence interval obtained in (a)is too wide. How can the width of this interval be reduced? Describe all possible alternatives. Which alternative is the best and why?
(a)Assuming that the kilometers per litre given by all mid-sized cars have a normal distribution,find a 99% confidence interval for the population mean μ.
(b)Suppose the confidence interval obtained in (a)is too wide. How can the width of this interval be reduced? Describe all possible alternatives. Which alternative is the best and why?
Answers
Answered by
PsyDAG
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (.005) and its Z score.
a) 99% = mean ± Z SEm
SEm = SD/√n
b) increase n, use different confidence interval
a) 99% = mean ± Z SEm
SEm = SD/√n
b) increase n, use different confidence interval
Answered by
Angee
my answer is 0.575