You intend to estimate a population mean μμ with the following sample.
50.8 |
65 |
60 |
54.7 |
49.9 |
55.2 |
67.6 |
55.7 |
67.5 |
58.9 |
61.2 |
53.4 |
You believe the population is normally distributed. Find the 90%
confidence interval. Enter your answer as an
open-interval (i.e., parentheses)
accurate to twp decimal places (because the sample data are
reported accurate to one decimal place).
90% C.I. =
x | (x-xbar)^2 | ||||
50.8 | 56.62562 | Mean(x)=xbar=sum(x)/n | 58.325 | ||
65 | 2.805625 | standard deviation(s)=sum(x-xbar)^2/n-1 | 6.088906 | ||
60 | 13.14062 | n | 12 | ||
54.7 | 70.98062 | for 90 % confidence level with degree of freedom (n-1)=11 | |||
49.9 | 9.765625 | c | 0.1 | ||
55.2 | 86.02563 | degrres of freedom | 11 | ||
67.6 | 6.890625 | t=critical value obtain from t-table using df=n-1 | 1.795885 | ||
55.7 | 84.18063 | Margin of error =t*s/sqrt(n) | 3.156655 | ||
67.5 | 0.330625 | LCL=xbar-ME | 55.16835 | ||
58.9 | 8.265625 | UCL=xbar+ME | 61.48165 | ||
61.2 | 24.25562 | ||||
53.4 | 411618.5 | ||||
sum | 699.9 | 411981.7 | |||
#the 90% confidence interval for μ
(xbar-ME,xbar+ME)
(55.1684,61.4817)
#the 90% confidence interval is (55.1684,61.4817)
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