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STANDARD DEVIATION FROM FREQUENCY TABLE WITH INTERVALS

To find the standard deviation of n values, we use the formula given below.

Standard deviation = Σ(x-x)2Σf

Problem 1 :

The weekly wages (in dollars) of 90 workers in a steel yard are given alongside :

Find estimates of the mean wage and the standard deviation of the wages.

Wage ($)

360 - 369.99

370 - 379.99

380 - 389.99

390 - 399.99

400 - 409.99

410 - 419.99

420 - 429.99

430 - 439.99

Number of Workers

5

16

27

16

12

8

4

2

Solution :

standard-deviation-with-intervals-q1
Standard deviation = Σf(x-x)2Σf= 24048.8390= 267.20

Mean wages = 392.10

Standard deviation = 16.34

Problem 2 :

A random sample of the weekly supermarket bills for a number of families was observed and recorded in the table given.

a. Find the mean bill and the standard deviation of the bills.

b. variance of the population

Bill ($)

70 - 79.99

80 - 89.99

90 - 99.99

100 - 109.99

110 - 119.99

120 - 129.99

130 - 139.99

140 - 149.99

No. of families

27

32

48

25

37

21

18

7

Solution :

a)

Mean = ΣfxΣf= 2024.73+2719.68+4559.52+2624.75+4254.63+2624.79+2429.82+1014.93215= 22252.85215= 103.50
standard-deviation-with-intervals-q2
Standard deviation = Σf(x-x)2Σf= 78812.41215= 366.56

Mean = 103.50

Standard deviation = 19.14

b)  Variance = 366.33

Problem 3 :

The length of 30 randomly selected 12 day old babies were measured to the nearest cm and the following data obtained.

i) Find the mean length and standard deviation of the lengths.

ii) Find the variance.

standard-deviation-with-intervals-q3

Solution :

Since the given interval is not continuous, let us make it as continuous interval.

Length(x)

39.5 - 41.5

41.5 - 43.5

43.5 - 45.5

45.5 - 47.5

47.5 - 49.5

49.5 - 51.5

51.5 - 53.5

Midpoint

40.5

42.5

44.5

46.5

48.5

50.5

52.5

Frequency

1

1

3

7

11

5

2

Mean = Σfx ΣfMean = 40.5 +42.5+133.5+325.5+533.5+252.5+105 30= 1433 30Mean= 47.76
standard-deviation-with-intervals-q4
Standard deviation = Σ(x-x)2Σf= 211.6430= 7.05= 2.65

i) Mean = 47.76, standard deviation = 2.65

ii) Variance = 7.05

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