Do you want to learn " How to calculate standard deviation in 6 easy steps"!! click here...

Do you want to learn " How to calculate standard deviation in 6 easy steps"!! click here...

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Before we jump on to the calculations, let's find out what standard deviation is ! well it's...

Before we jump on to the calculations, let's find out what standard deviation is ! well it's...

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"A quantity expressing by how much the members of a group differ from the mean value for the group"

"A quantity expressing by how much the members of a group differ from the mean value for the group"

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Standard deviation is useful in assessing risk factors and investment options. 

Standard deviation is useful in assessing risk factors and investment options. 

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formula used to calculate standard deviation is: σ=√1N∑Ni=1(Xi−μ)2. where...

formula used to calculate standard deviation is: σ=√1N∑Ni=1(Xi−μ)2. where...

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μ = Assumed mean

σ= Population standard deviation 

now let's move on to steps to solve with an example's help....

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6

40

60

52

32

65

1

2

3

4

5

Assume a data set of 6 scores:

41

find the mean.

find each scores deviation from mean.

square each deviation from mean.

1

2

3

steps

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find the square root of the variance.

find the sum of squares. .

find the variance.

4

5

6

steps

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find the mean as follows:

step 1

(40+60+32+65+52+41)/6=48.33. so,  mean=48.33

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find each  scores deviation from mean:

40-48.33=-8.33

60-48.33=11.76

32-48.33=-16.33

65-48.33=16.67

52-48.33=3.67

41-48.33=-7.33

step 2

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square each deviation from mean:

step 3

(-8.33)*2 = 69.38

(11.76)*2 = 138.2

(-16.33)*2= 266.6

(16.67)*2 =277.8

(3.67)*2 = 13.46

(-7.33)*2 =53.72

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find the sum of squares (this is called sum of squares):

step 4

(69.38+138.2+266.6+277.8+13.46+53.72) = 719.14

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find the variance:  ( divide the sum of the squares by N (FOR POPULATION) and (n-1 for sample).

step 5

POPULATION:   719.14 /6=119.8 SAMPLE: 719.14 /(6-1) = 143.82

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find the square root of the variance. .

step 6

POPULATION:   119.8 = 10.94 SAMPLE: √ 143.82 = 11.99

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from these calculations  we can say that each score deviates from the mean by 10.94 for population and 11.99 for sample.

1

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