A journal article reports that a sample of size 5 was used as a basis for calculating a 95% CI for the true average natural frequency (Hz) of delaminated beams of a certain type. The resulting interval was (229.266, 233.002). You decide that a confidence level of 99% is more appropriate than the 95% level used. What are the limits of the 99% interval? [Hint: Use the center of the interval and its width to determine x and s.] (Round your answers to three decimal places.)

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]