In: Statistics and Probability
A professor of History is teaching a section of 100 students. Her first exam’s grade distribution is as follows. Calculate the standard deviation for this grouped data.
| 
 Exam grades  | 
 Frequency  | 
| 
 45 to < 50  | 
 1  | 
| 
 50 to < 55  | 
 2  | 
| 
 55 to < 60  | 
 6  | 
| 
 60 to < 65  | 
 19  | 
| 
 65 to < 70  | 
 12  | 
| 
 70 to < 75  | 
 22  | 
| 
 75 to < 80  | 
 12  | 
| 
 80 to < 85  | 
 13  | 
| 
 85 to < 90  | 
 11  | 
| 
 90 to < 95  | 
 0  | 
| 
 95 to < 100  | 
 2  | 
Solution
Back-up Theory
Let
xi be the mid-point (class mark) of the ith class interval and fi be the corresponding class frequency, i = 1 to k, k being the number of classes.
Then,
Mean (Average), µ, = {Σ(i = 1, k)(xi.fi)}/{Σ(i = 1, k)(fi)} ..…………………………. (1)
Variance, σ2 = [Σ(i = 1, k){fi.(xi – µ)2}]/{Σ(i = 1, k)(fi)} .........................................(2a)
or equivalently
[{Σ(i = 1, k){fi.(xi)2}/{Σ(i = 1, k)(fi)}] – µ2 …………………....…………………….. (2b)
Standard deviation (SD), σ = sqrt(Variance) …………………..........………….. (3)
Now, to work out the solution,
Final answer is given below. Details of Calculations follow at the end.
Standard deviation = 10.15 Answer
Details of Calculations
| 
 Class Number(i)  | 
 Class Limits  | 
 Frequency (fi)  | 
 Class Mark(xi)  | 
 fi.xi  | 
 fi.xi2  | 
| 
 1  | 
 45 to < 50  | 
 1  | 
 47.5  | 
 47.5  | 
 2256.25  | 
| 
 2  | 
 50 to < 55  | 
 2  | 
 52.5  | 
 105.0  | 
 5512.50  | 
| 
 3  | 
 55 to < 60  | 
 6  | 
 57.5  | 
 345.0  | 
 19837.50  | 
| 
 4  | 
 60 to < 65  | 
 19  | 
 62.5  | 
 1187.5  | 
 74218.75  | 
| 
 5  | 
 65 to < 70  | 
 12  | 
 67.5  | 
 810.0  | 
 54675.00  | 
| 
 6  | 
 70 to < 75  | 
 22  | 
 72.5  | 
 1595.0  | 
 115637.50  | 
| 
 7  | 
 75 to < 80  | 
 12  | 
 77.5  | 
 930.0  | 
 72075.00  | 
| 
 8  | 
 80 to < 85  | 
 13  | 
 82.5  | 
 1072.5  | 
 88481.25  | 
| 
 9  | 
 85 to < 90  | 
 11  | 
 87.5  | 
 962.5  | 
 84218.75  | 
| 
 10  | 
 90 to < 95  | 
 0  | 
 92.5  | 
 0.0  | 
 0.00  | 
| 
 11  | 
 95 to < 100  | 
 2  | 
 97.5  | 
 195.0  | 
 19012.50  | 
| 
 Total  | 
 100  | 
 7250.0  | 
 535925.00  | 
| 
 Mean = 7250/100 = 72.5  | 
 Vide (1) of Back-up Theory  | 
| 
 Variance = (5359.25) – 72.52= 103  | 
 Vide (2b) of Back-up Theory  | 
| 
 Standard Deviation = √103 = 10.15  | 
 Vide (3) of Back-up Theory  | 
DONE