Respuesta :
Answer:
[tex]Lower = 231.134- 3.098=228.036[/tex]
[tex]Upper = 231.134+ 3.098=234.232[/tex]
Step-by-step explanation:
Previous concepts
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
[tex]\bar X[/tex] represent the sample mean for the sample
[tex]\mu[/tex] population mean (variable of interest)
s represent the sample standard deviation
n=5 represent the sample size
Solution to the problem
The confidence interval for the mean is given by the following formula:
[tex]\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}[/tex] (1)
And for this case we know that the 95% confidence interval is given by:
[tex] \bar X=\frac{233.002 +229.266}{2}= 231.134[/tex]
And the margin of error is given by:
[tex] ME = \frac{233.002 -229.266}{2}= 1.868[/tex]
And the margin of error is given by:
[tex] ME= t_{\alpha/2} \frac{s}{\sqrt{n}}[/tex]
The degrees of freedom are given by:
[tex] df = n-1 = 5-1=4[/tex]
And the critical value for 95% of confidence is [tex] t_{\alpha/2}= 2.776[/tex]
So then we can find the deviation like this:
[tex] s = \frac{ME \sqrt{n}}{t_{\alpha/2}}[/tex]
[tex] s = \frac{1.868* \sqrt{5}}{2.776}= 1.506[/tex]
And for the 99% confidence the critical value is: [tex] t_{\alpha/2}= 4.604[/tex]
And the margin of error would be:
[tex] ME = 4.604 *\frac{1.506}{\sqrt{5}}= 3.098[/tex]
And the interval is given by:
[tex]Lower = 231.134- 3.098=228.036[/tex]
[tex]Upper = 231.134+ 3.098=234.232[/tex]