24 12 pt Use the table of listed data below to find the samp
Solution
The table that is filled seems absolutely correct.
Let us understand what each term means:
xi = Variable value
fi = frequency of number of times that value appears
Mean or the average is given by
summation of ( xifi ) / total observations
= summation of ( xifi ) / summation of (fi )
In your case the data can be discretely written as:
{ 3,,3,,3,,3,,5,,5,,5,,5,,5,,5,,7,,7,,7,,9,,9,,11,,11,,11,,11,,11,,11} whose mean = sum of all values / no. of values
And that is what is done:
So, we get the mean or the average as : 136 / 20 = 6.8 ( we call it x-bar)
Now, to calculate Variance / Standard Deviation :.
Std.Dev in a data set = square root of [ sum of squares of deviations / n-1 ]
Deviations are deviations from mean :
Thus, we get the (x - xbar) [e.g 3 - 6.8 = -3.8 ] which is the deviation
We need the squares of these deviations, and thus get column 4
Column 5 :
Each square term is multiplied with it\'s frequency since, the values and so also the deviations are repeated that many number of times.
SS = sum of square terms, that is all the terms in the last column.
To calculate the sample standard deviation, we dvide it by n-1 and take the square root. That is our Std.Dev.
Hope this explains what you are looking for. Ask if you need more explanation
