Respuesta :
Answer:
The lower bound of a 90% confidence interval = 4.83
Step-by-step explanation:
Let us assume that the 95% confidence interval for population mean is constructed from a random sample of size 13 which is (3.5990, 19.0736).
We calculate 95% confidence interval for population mean by;
x bar [tex]\pm[/tex] 1.96[tex]\frac{\sigma}{\sqrt{n} }[/tex] , where xbar = sample mean or observed mean
[tex]\sigma[/tex] = Population standard deviation
n = sample size
1.96 = It represent that at 2.5% level of
significance the area of z score will be 1.96.
So (3.5990, 19.0736) = x bar [tex]\pm[/tex] 1.96[tex]\frac{\sigma}{\sqrt{13} }[/tex] , which further represent
x bar - 1.96[tex]\frac{\sigma}{\sqrt{13} }[/tex] = 3.5990 Equation 1
x bar + 1.96[tex]\frac{\sigma}{\sqrt{13} }[/tex] = 19.0736 Equation 2
Solving these two above questions we get x bar = 11.336 and [tex]\sigma[/tex] = 14.233
Now Similarly the 90% Confidence Interval = x bar [tex]\pm[/tex] 1.6449[tex]\frac{\sigma}{\sqrt{n} }[/tex]
So, the lower bound for this confidence interval is = x bar - 1.6449[tex]\frac{\sigma}{\sqrt{13} }[/tex]
= 11.336 - 1.6449[tex]\frac{14.233}{\sqrt{13} }[/tex]
= 4.843 or 4.83
Therefore, the lower bound of a 90% confidence interval is 4.83.