Hi lanee19!!
I will start with some concepts that lead us to the solution of the problem:
What we want is that the confidence level be 0.95.
Supose that we have a standard normal variable, in that case we need
to find Q that:
P(Z > Q) = 0.025.
Note that due the symmetry of the normal distribution around 0, if Q
is such that P(Z > Q) = 0.025 , then we will have that 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
This means that the interval (-Q,Q) defines 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
Then 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 knowing
the Mean and the STD (standard deviation) we can calculate the
extremes of the 95% confidence interval by the formula:
Mean +/- (1.96 * STD)/sqrt(n)
For this problem we have that:
n = 64 (n > 30)
Mean = 1400
STD = 240
The extremes of the confidence interval are:
left extreme = 1400 - (1.96 * 240)/sqrt(64) =
= 1400 - 58.8 =
= 1341.2
right extreme = 1400 + (1.96 * 240)/sqrt(64) =
= 1400 + 58.8 =
= 1458.8
Then the 95% confidence interval for the SAT scores of all the
students who applied for the merit scholarships is:
(1341.2, 1458.8)
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For reference visit the following page:
"ConŻdence Intervals":
http://math.cofc.edu/faculty/diamond/104confint.pdf
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I hope that this helps you. If you find something unclear, wrong
and/or incomplete, please let me know by using the clarification
request, I will gladly respond to your requests.
Best regards.
livioflores-ga |