Respuesta :
Answer:
a) [tex]\sigma_{\bar X}= \frac{1.25}{\sqrt{16}}= 0.3125[/tex]
b) [tex]25-1.64\frac{1.25}{\sqrt{16}}=24.4875[/tex]
[tex]25+1.64\frac{1.25}{\sqrt{16}}=25.5125[/tex]
Step-by-step explanation:
Previous concepts
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".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(25,1.25)[/tex]
Where [tex]\mu=25[/tex] and [tex]\sigma=1.25[/tex]
Part a
We know that the distribution for the sample mean [tex]\bar X[/tex] is given by:
[tex]\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})[/tex]
The standard error is given by:
[tex]\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}[/tex]
And replacing we got:
[tex]\sigma_{\bar X}= \frac{1.25}{\sqrt{16}}= 0.3125[/tex]
Part b
The confidence interval for the mean is given by the following formula:
[tex]\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}[/tex] (1)
Since the Confidence is 0.90 or 90%, the value of [tex]\alpha=0.1[/tex] and [tex]\alpha/2 =0.05[/tex], and we can use excel, a calculator or a tabel to find the critical value. The excel command would be: "=-NORM.INV(0.05,0,1)".And we see that [tex]z_{\alpha/2}=1.64[/tex]
Now we have everything in order to replace into formula (1):
[tex]25-1.64\frac{1.25}{\sqrt{16}}=24.4875[/tex]
[tex]25+1.64\frac{1.25}{\sqrt{16}}=25.5125[/tex]