Standard deviation Continuous series Actual Mean MethodDirect Method

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Standard deviation Continuous series

Standard deviation Continuous series

Actual Mean Method/Direct Method Continuous Series Steps : 1. Ascertain mid points (m) and

Actual Mean Method/Direct Method Continuous Series Steps : 1. Ascertain mid points (m) and multiply it by frequency to obtain - fm. Now apply the formula Σfm/N to find out mean. 2. Calculate deviations from mean and denote as –d 3. Deviations and frequency should be multiplied to determine fd. 4. Multiply d and fd to obtain fd 2. 2 5. Find the aggregate of fd & fd 2 and express them as Σfd & Σfd. 6. Now apply the formula : 2 Σfd ___ N Example : Calculate the standard deviation and its co-efficient from the following : Size Frequency 0. 5 - 1. 5 1 1. 5 – 4. 5 2 4. 5 – 5. 5 3 5. 5 – 8. 5 4 8. 5 – 13. 5 5

Solution : F m. v. fm 0. 5 - 1. 5 1 1 1

Solution : F m. v. fm 0. 5 - 1. 5 1 1 1 -6 6 36 1. 5 – 4. 5 2 3 6 -4 8 32 4. 5 – 5. 5 3 5 15 -2 6 12 5. 5 – 8. 5 4 7 28 0 0 0 8. 5 – 13. 5 5 11 55 4 20 80 N=15 Σfm =105 _ Σfm 105 X = ___ = 7 N 15 S. D = S. D. = (mean- 7 ) fd fd 2 Σfd =160 S. D. _____ Coefficient of S. D. = Mean 2 ____ Σfd N 160 ___ 15 D 2 Size 10. 67 S. D. = 3. 27 7 = 0. 47

Standard Deviation in Continuous Series Assumed Mean Method Or Short cut Method Steps :

Standard Deviation in Continuous Series Assumed Mean Method Or Short cut Method Steps : 1. Find out value from the class interval and express it by M 2. Assume mean and calculate deviations from it. Denote with ‘d’ 3. Multiply deviation by frquency and obtain fd. 4. Multiply fd by d and obtain fd 5. Find Σfd & Σfd 2 2 Apply the following formula : Σfd 2 - ___ Σfd N 2 N Example : Calculate SD from the following frequency distribution. using A. Mean method Age in years : No. of employees 18 -28 28 -38 5 8 38 -48 10 48 -58 7

Standard Deviation in Continuous Series Assumed Mean Method Or Short cut Method Solution Age

Standard Deviation in Continuous Series Assumed Mean Method Or Short cut Method Solution Age in years (X) No. of employees (f) Mid points(M) D( M-33) fd 18 -28 5 23 -10 -50 500 28 -38 8 33 0 0 0 38 -48 10 43 10 1000 48 -58 7 53 20 140 2800 Σfd =190 Σfd 2 =4300 (From= M) N=30 S. D = = Σfd 2 N - ___ Σfd N 2 2 4300 ___ _ 190 30 30 fd 2 143. 33 - (6. 33) 2 143. 33 – 40. 06 103. 27 = 10. 16

Standard deviation –steps (continuous series) • Step 1: Find the mid points of various

Standard deviation –steps (continuous series) • Step 1: Find the mid points of various classes • Step 2: Take the deviations of these mid points from assumed mean and denote these deviations by ‘d’ • Step 3: Take a common factor and denote this column by d • Step 4: Multiply the frequencies of each class with the deviations and obtain ∑fd • Step 5: Square the deviations and multiply with the respective frequencies of each class and obtain ∑fd 2 • Thus the only difference in procedure in continuous series is to find the mid- points of various classes.

Standard deviation step deviation method (continuous series) • In continuous series any of the

Standard deviation step deviation method (continuous series) • In continuous series any of the three methods can be used. The formula for the step deviation method is σ= Where d = A =Assumed mean i = class interval m=mid points

Find standard deviation from the following: Mark s 0 -10 10 -20 20 -30

Find standard deviation from the following: Mark s 0 -10 10 -20 20 -30 30 -40 40 -50 50 -60 60 -70 No. of stud ents 5 12 30 45 50 37 21

Standard deviation Marks No. of m. P (X) student s (f) d=(X-A) A =35

Standard deviation Marks No. of m. P (X) student s (f) d=(X-A) A =35 d( d /i) i=10 fd fd 2 0 -10 10 -20 20 -30 30 -40 40 -50 50 -60 60 -70 5 12 30 45 50 37 21 -30 -20 -10 0 10 20 30 -3 -2 -1 0 1 2 3 -15 -24 -30 0 50 74 63 45 48 30 0 50 148 189 ∑fd 118 ∑fd 2510 ∑f 200 5 15 25 35 45 55 65

Standard deviation continuous series- Solution • σ = Hide Next

Standard deviation continuous series- Solution • σ = Hide Next

2. 55 - (0. 59) 2 2. 55 - 0. 34 x 10 2.

2. 55 - (0. 59) 2 2. 55 - 0. 34 x 10 2. 21 x 10 = 1. 48 x 10 = 14. 8 X 10

Merits and demerits of standard deviation • Merits: • It is based on all

Merits and demerits of standard deviation • Merits: • It is based on all values. • It is amenable to further algebraic treatment. • It is less affected by fluctuations of sampling than any other measures of dispersion. Demerits: It is difficult to compute. In the calculation of standard deviation extreme values from mean are given more importance than the values near the mean.