The 90% confidence interval for the mean one-way commuting time in New York City is 37.8 < μ < 38.8 minutes. Construct a 95% interval based on the same data. Which interval provides more information.
For the 90% confidence interval the following equations can be formed: \[37.8=sample\ mean-1.645\frac{\sigma}{\sqrt{n}}\ ...........(1)\] \[38.8=sample\ mean+1.645\frac{\sigma}{\sqrt{n}}\ ............(2)\] By adding equations (1) and (2) you can calculate the sample mean and then \[\frac{\sigma}{\sqrt{n}}\]
So 37.8+38.8=76.6 would the sample mean?
@kropot72 So 37.8+38.8=76.6 would the sample mean?
You need to add the right hand sides of equations (1) and (2) as well as the left hand sides.
@kropot72 so I have to find the standard deviation and the square root of the number first?
You need to find the sample mean and the fraction \[\frac{\sigma}{\sqrt{n}}\] You do not need to know sigma and the square root of n (sample size) separately.
@kropot72 I am so confused. How can I add 37.8=sample mean−1.645σ/√n ...........(1) 38.8=sample mean+1.645σ/√n ............(2) if I do not know the values that I need?
Sorry for delay. My broadband had a fault. Adding (1) and (2) gives: \[37.8+38.8=(sample\ mean)+(sample\ mean)-1.645\frac{\sigma}{\sqrt{n}}+1.645\frac{\sigma}{\sqrt{n}}\ ..........(3)\]
Simplifying gives: 76.6 = 2 * (sample mean) sample mean = 76.6/2 If you now substitute the value just obtained for the sample mean into equation (1) you can find the value of the fraction \[\frac{\sigma}{\sqrt{n}}\] Then it becomes possible to construct a 95% confidence interval.
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