In: Math
Construct two confidence intervals for the population mean: a 95% confidence interval and a 99% confidence interval. Assume that your data is normally distributed and the population standard deviation is unknown Here is the data set of 60 numbers. 69 35 60 55 49 60 72 70 70 73 68 72 74 69 46 48 70 55 49 60 72 70 76 56 59 64 71 69 55 61 70 55 45 69 54 48 60 61 50 59 60 62 63 53 64 50 69 52 68 70 69 59 58 69 65 61 59 71 71 68
First, we need to find the mean and sample standard deviation
Mean = (sum of all values)/(total number of values)
setting the values, we get
Mean = (69+35+...+71+68)/(60) here (69+35+...+71+68) shows sum of all values
we get
Mean = 3709/60 = 61.82 =
and standard deviation =
where xi are the given values and x(bar) is mean, n is the sample size = 60
setting the values, we get
standard deviation =
this gives us
Standard deviation (s) = 8.92
Now, we have unknown population standard deviation, so we will use t distribution. We need to calculate t critical values for the 95% and 99% confidence levels.
For 95% confidence interval, significance level = 1-0.95 = 0.05
degree of freedom = n-1 = 60-1 = 59
Using t distribution table, we get t critical = 2.00
Confidence interval =
setting the given values, we get
CI(95) =
Similarly, for 99% confidence interval, significance level = 1-0.99 = 0.01
degree of freedom = n-1 = 60-1 = 59
Using t distribution table, we get t critical = 2.66
Confidence interval =
setting the given values, we get
CI(99) =