A chemist examines 15 geological samples for potassium chloride concentration. The mean potassium chloride concentration for the sample data is 0.376 cc/cubic meter with a standard deviation of 0.0012. Determine the 95% confidence interval for the population mean potassium chloride concentration. Assume the population is approximately normal. Step 1 of 2: Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.

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Answer:

[tex]0.376-2.145\frac{0.0012}{\sqrt{15}}=0.375[/tex]    

[tex]0.376+2.145\frac{0.0012}{\sqrt{15}}=0.377[/tex]    

And we are 95% confident that the true mean of chloride concentration is between 0.375 and 0.377 cc/ cubic meter

Step-by-step explanation:

Data provided

[tex]\bar X=0.376[/tex] represent the sample mean for the chloride concentration

[tex]\mu[/tex] population mean (variable of interest)

s=0.0012 represent the sample standard deviation

n=15 represent the sample size  

Confidence interval

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)

Since we need to find the critical value first we need to begin finding the degreed of freedom

[tex]df=n-1=15-1=14[/tex]

The Confidence is 0.95 or 95%, the significance would be [tex]\alpha=0.05[/tex] and [tex]\alpha/2 =0.025[/tex], and the critical value for this case with a t distribution with 14 degrees of freedom is [tex]t_{\alpha/2}=2.145[/tex]

And the confidence interval is:

[tex]0.376-2.145\frac{0.0012}{\sqrt{15}}=0.375[/tex]    

[tex]0.376+2.145\frac{0.0012}{\sqrt{15}}=0.377[/tex]    

And we are 95% confident that the true mean of chloride concentration is between 0.375 and 0.377 cc/ cubic meter

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