Answer :
Answer:
[tex] Range = 60-5=55[/tex]
In order to find the variance and deviation we need to find the mean with this formula:
[tex] \bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
And replacing we got:
[tex] \bar X =36.07 [/tex]
Now we can find the variance with the following formula:
[tex]s^2 =\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}[/tex]
And replacing we got:
[tex] s^2=357.610[/tex]
And the standard deviation would be:
[tex] s = \sqrt{357.610}= 18.911[/tex]
For this case since the range observed is large is better to use a measure of variation in order to check the spread of the values and take a decision useful
Step-by-step explanation:
For this case we have the following dataset:
60 58 55 53 47 45 44 43 25 25 20 18 7 5
We can find the range with this formula:
[tex] Range = Max-Min[/tex]
And replacing we got:
[tex] Range = 60-5=55[/tex]
In order to find the variance and deviation we need to find the mean with this formula:
[tex] \bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
And replacing we got:
[tex] \bar X =36.07 [/tex]
Now we can find the variance with the following formula:
[tex]s^2 =\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}[/tex]
And replacing we got:
[tex] s^2=357.610[/tex]
And the standard deviation would be:
[tex] s = \sqrt{357.610}= 18.911[/tex]
For this case since the range observed is large is better to use a measure of variation in order to check the spread of the values and take a decision useful