Answer:
![\bar X = (1+5+8+5+1)/(5)= (20)/(5)= 4](https://img.qammunity.org/2021/formulas/mathematics/college/g0o531k6hdibqsm9691uglh08s92rococ6.png)
![\sigma= \sqrt{((1-4)^2 +(5-4)^2 +(8-4)^2 +(5-4)^2 +(1-4)^2)/(5)} =\sqrt{(36)/(5)}= 2.68](https://img.qammunity.org/2021/formulas/mathematics/college/88uczgjma6kn736xfwybfhizlmd5llyo03.png)
And based on this the best answer would be:
a. mean = 4; standard deviation = 2.68
Explanation:
For this case we have the following data given:
1,5,8,5,1
We can find the sample mean with the following formula:
![\bar X = (\sum_(i=1)^n X_i)/(n)](https://img.qammunity.org/2021/formulas/mathematics/college/ns1mchdnk6shlvnixd6eiunff164m4m06k.png)
And replacing we got:
![\bar X = (1+5+8+5+1)/(5)= (20)/(5)= 4](https://img.qammunity.org/2021/formulas/mathematics/college/g0o531k6hdibqsm9691uglh08s92rococ6.png)
And for the deviation (assuming that the correct approximation is the deviation for a population) we can calculate the deviation with the following formula:
![\sigma = \sqrt{(\sum_(i=1)^n (X_i -\bar X)^2)/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/wi37g028nkpgmouf0er196cwkxupgg6zhz.png)
And replacing we got:
![\sigma= \sqrt{((1-4)^2 +(5-4)^2 +(8-4)^2 +(5-4)^2 +(1-4)^2)/(5)} =\sqrt{(36)/(5)}= 2.68](https://img.qammunity.org/2021/formulas/mathematics/college/88uczgjma6kn736xfwybfhizlmd5llyo03.png)
And based on this the best answer would be:
a. mean = 4; standard deviation = 2.68