Respuesta :
Answer:
C
Step-by-step explanation:
Well, the first useful step to find the Standard Deviation is to organize it into a table. Let's insert the information. The data set ={9,12,14,21} Mean = 14 n= quantity of observations, in this case: 4
1) In the first column, the data set. In the second column, the squared difference of each number minus the mean. The sum of the second column will be plugged into the ∑ formula. (Check below)
2) Notice that in the second row, where x value is 9. (x-xbar)²= (9-14)². Yuri has made that mistake, and He compromised all the calculations.



Answer:
Option B.
Step-by-step explanation:
Consider the below figure attached with this question.
Formula for standard deviation of a sample:
[tex]s=\sqrt{\dfrac{\sum (x-\overline{x})^2}{n-1}}[/tex]
where, n is sample size and [tex]\overline{x}[/tex] is sample mean.
The sample data set is 12, 14, 9, and 21.
The mean is 14.
So, the sample standard deviation is
[tex]s=\sqrt{\dfrac{(12-14)^2+(14-14)^2+(9-14)^2+(21-14)^2}{4-1}}[/tex]
According to Yuri,
[tex]s=\sqrt{\dfrac{(12-14)^2+(14-14)^2+(9-14)^2+(21-14)^2}{4}}[/tex]
Yuri divides the sum of square of difference between each data point and the mean by n instead of n -1.
Therefore, the correct option is B.
