Hi lola5!!
What we want is that the confidence level be 0.95.
To get an idea on how we can find that confidence level supose that we
have a standard normal variable, we are looking for Q that:
P(Z > Q) = 0.025.
Due the symmetry of the normal distribution around 0, if P(Z > Q) =
0.025 , then P(Z < -Q) = 0.025.
Working with that probabilities we can conclude that:
P(-Q < Z < Q) = 1 - P(Z > Q) - P(Z < -Q) =
= 1 - 0.025 -0.025 =
= 0.95
That confirms the interval (-Q,Q) as a 95% confidence interval.
Use the following table to find the value of Z that correspond to a
probability of 0.025. You will find Z = 1.96
"z-distribution Table":
http://www.math2.org/math/stat/distributions/z-dist.htm
We conclude that, for a standard normal variable, the interval
(-1.96,+1.96) defines a 95% confidence interval.
If you have a large number n of sample size (say n > 30) and know the
Mean and the STD (standard deviation) we can calculate the extremes of
the 95% confidence interval by the formula:
Extremes = Mean +/- (1.96 * STD)/sqrt(n)
For this problem we have that:
n = 32 (n > 30)
Mean = 20
STD = 6.2
The extremes of the confidence interval are:
left extreme = 20 - (1.96 * 6.2)/sqrt(32) =
= 20 - 2.15 =
= 17.85
right extreme = 20 + (1.96 * 6.2)/sqrt(32) =
= 20 + 2.15 =
= 22.15
Then the 95% confidence interval is:
(17.85, 22.15)
The sample is sufficiently large , n > 30, to define an interval
within which we can be 95% sure the true population mean will lie,
based on sample estimates of the mean and standard error. Since the
95% confidence interval does not contain the number 26, 26 weeks is
not a reasonable population mean.
See for more references:
"Confident Limits":
http://aerg.canberra.edu.au/envirostats/bm/L3/ff_cflim.htm
Search Strategy:
"sample mean confidence" "population mean"
sample mean confidence
I hope that this helps you. Feel free to request for a clarification
if you need it.
Regards,
livioflores-ga |