In: Statistics and Probability
Answer ASAP: Probability and Statistics question
Assume that the helium porosity (in percentage) of coal samples taken from any particular seam is normally distributed, but neither the mean LaTeX: \muμ nor the variance LaTeX: \sigma^2σ 2 is known. Suppose that we are given a sample of 25 specimens from the seam, with average porosity 8.85 and standard deviation 0.75.
Answer the following questions:
(a) Construct a 98% confidence interval for LaTeX: \muμ. How large is the margin of error?
(b) Does the interval in part (a) contain the true value of LaTeX: \mu μ? Explain why.
(c) Would a 96% confidence interval based on the same sample be
narrower or wider than the 98% confidence interval? You do not need
to calculate it but be sure to explain your reasoning
clearly.
(a)
Standard error of mean , SE = = = 0.15
Degree of freedom = n-1 = 15-1 = 14
t value for 98% confidence interval and df = 14 is 2.62
Margin of error = t * SE = 2.62 * 0.15 = 0.393
98% confidence interval for is,
(8.85 - 0.393 , 8.85 + 0.393)
(8.457 , 9.243 )
(b)
It is not necessary that the interval in part (a) contain the true value of . We are 98% confident that the interval in part (a) contain the true value of .
(c)
With decrease in confidence interval, the critical value of t decreases and consequently, the margin of error and width of the confidence interval decreases. Thus, the 96% confidence interval based on the same sample will be narrower than the 98% confidence interval.