3. Fifteen employees of a large manufacturing company were involved in a study to test a new production method. The mean production rate for the sample of 15 employees was 63 components per hour and the standard deviation was 8 components per hour. Calculate the margin of error for the mean number of components produced per hour at a 5% level of significance.
Lets mark the margin of error as m, then:
"m = Cr*{\\frac {\u03c3\u200e} {\\sqrt{n}}}" , where Cr - critical value, σ - standart deviation of the sample, n - sample size
σ is known, then we have to find Cr
Since we have small sample size(<30) and the population distribution is not known, it is appropiate to use t-statistics with n-1 = 14 degrees of freedom
It is also appropriate to make a two-sided test, so
"P(""t(14)>Cr) = {\\frac a 2}=0.025" , a - level os significance(0.05)
The t-values can be found from the tables
Cr = 2.145
"m= 2.145*{\\frac 8 {\\sqrt{15}}}=0.107=4.43"
That means that with 95% confidence the mean value lies in the interval (63-4.43, 63+4.43) =
= (58.57, 67.43)
Comments
Leave a comment