The following measurements (in picocuries per liter) were recorded by a set of xenon gas detectors installed in a laboratory facility: 476,448.2,431.3 Using these measurements, construct a 99% confidence interval for the mean level of xenon gas present in the facility. Assume the population is approximately normal. Step 4 of 4 : Construct the 99% confidence interval. Round your answer to two decimal places.

Respuesta :

Answer:

[tex]451.833-9.925\frac{22.570}{\sqrt{3}}=322.50[/tex]    

[tex]451.833+9.925\frac{22.570}{\sqrt{3}}=581.17[/tex]    

So on this case the 99% confidence interval would be given by (322.50;581.17)    

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 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)

In order to calculate the mean and the sample deviation we can use the following formulas:  

[tex]\bar X= \sum_{i=1}^n \frac{x_i}{n}[/tex] (2)  

[tex]s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}}[/tex] (3)  

The mean calculated for this case is [tex]\bar X=451.833[/tex]

The sample deviation calculated [tex]s=22.570[/tex]

In order to calculate the critical value [tex]t_{\alpha/2}[/tex] we need to find first the degrees of freedom, given by:

[tex]df=n-1=3-1=2[/tex]

Since the Confidence is 0.99 or 99%, the value of [tex]\alpha=0.01[/tex] and [tex]\alpha/2 =0.005[/tex], and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.005,2)".And we see that [tex]t_{\alpha/2}=9.925[/tex]

Now we have everything in order to replace into formula (1):

[tex]451.833-9.925\frac{22.570}{\sqrt{3}}=322.50[/tex]    

[tex]451.833+9.925\frac{22.570}{\sqrt{3}}=581.17[/tex]    

So on this case the 99% confidence interval would be given by (322.50;581.17)