A computer system administrator notices that computers running a particular operating system seem to freeze up more often as the installation of the operating system ages. She measures the time (in minutes) before freeze-up for seven computers one month after installation, and for nine computers seven months after installation. The results are as follows:
One month after install: 207.4
233.1 215.9
235.1 225.6
244.4 245.3
Seven months after install: 84.3 53.2
127.3 201.3
174.2 246.2
149.4 156.4
104.3
Let μXμX represent the population mean for the first month and let
μYμY represent the population mean for the seventh month. Find a
95% confidence interval for the difference μX−μYμX−μY. Round down
the degrees of freedom to the nearest integer and round the answers
to three decimal places.
Answer:
For one month
= 229.543, s1 = 14.17, n1 = 7
For seven month
= 143.733 = 144 , s2 = 59.93, n2 = 9
df = (s1^2/n1 + s2^2/n2)^2/((s1^2/n1)^2/(n1 - 1) + (s2^2/n2)^2/(n2 - 1))
= ((14.17)^2/7 + (59.93)^2/9)^2/(((14.17)^2/7)^2/6 + ((59.93)^2/9)^2/8) = 9
At 95% confidence interval the critical value is t* = 2.262
The 95% confidence interval for the difference in population means is
() +/- t* * sqrt(s1^2/n1 + s2^2/n2)
= (229.543 - 143.733) +/- 2.262 * sqrt((14.17)^2/7 + (59.93)^2/9)
= 85.81 +/- 46.783
= 39.027, 132.593
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