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## PowerPoint Slideshow about ' 2.4-MEASURES OF VARIATION' - stian

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2.4-MEASURES OF VARIATION

- 1) Range – Difference between max & min
- 2) Deviation – Difference between entry & mean
- 3) Variance – Sum of differences between entries and mean, divided by population or sample -1.
- 4) Standard Deviation – Square root of variance

Range

- Range = (Maximum entry) – (Minimum entry)
- Find range of the starting salaries (1000 of $):

41 38 39 45 47 41 44 41 37 42

Range

- Range = (Maximum entry) – (Minimum entry)
- Find range of the starting salaries (1000 of $):
- 38 39 45 47 41 44 41 37 42

47-37 = range of 10 or $10,000

Range

- Range = (Maximum entry) – (Minimum entry)
- Find range of the starting salaries (1000 of $):
- 38 39 45 47 41 44 41 37 42

47-37 = range of 10 or $10,000

- Find range of the starting salaries (1000 of $):

40 23 41 50 49 32 41 29 52 58

Range

- Range = (Maximum entry) – (Minimum entry)
- Find range of the starting salaries (1000 of $):
- 38 39 45 47 41 44 41 37 42

47-37 = range of 10 or $10,000

- Find range of the starting salaries (1000 of $):

40 23 41 50 49 32 41 29 52 58

Range

- Range = (Maximum entry) – (Minimum entry)
- Find range of the starting salaries (1000 of $):
- 38 39 45 47 41 44 41 37 42

47-37 = range of 10 or $10,000

- Find range of the starting salaries (1000 of $):

40 23 41 50 49 32 41 29 52 58

58 – 23 = 35 or $35,000

Deviation

- Deviation = How far away entries are from mean. For each entry, entry – mean of data set. x = x - µ. May be positive or negative
- Population Variance = Mean of the SQUARE of the variance. σ² = Σ(x-µ)²÷N
- Sample Variance = Variance for a SAMPLE of a population. s² = Σ(x-x)²÷(n-1)
- Standard deviation = SQUARE ROOT of variance.

σ = √ Σ(x-µ)² ÷ Ns=√Σ(x-x)²÷(n-1)

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

N = 10

σ² = SSx/N

σ²= 88.5/10

= 8.85

σ= √σ²

Find mean, deviation, sum of squares, population variance & std. deviation

N = 10

σ² = SSx/N

σ²= 88.5/10

= 8.85

σ= √σ²

σ =√8.85 = 2.97

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

Find mean, deviation, sum of squares, population variance & std. deviation

N=10

Find mean, deviation, sum of squares, population variance & std. deviation

N=10

σ²=SSx/10

σ²=1102.5/10

= 110.25

Find mean, deviation, sum of squares, population variance & std. deviation

N=10

σ²=SSx/10

σ²=1102.5/10

= 110.25

σ=√σ²

Find mean, deviation, sum of squares, population variance & std. deviation

N=10

σ²=SSx/10

σ²=1102.5/10

= 110.25

σ=√σ²

σ=√110.25

= 10.5

Find the SampleVariance and Sample Standard Deviation

n = 10

s²=SSx/(n-1)

s²=88.5/(10-1)

= 88.5/9

=9.83

Find the SampleVariance and Sample Standard Deviation

n = 10

s²=SSx/(n-1)

s²=88.5/(10-1)

= 88.5/9

=9.83

s=3.14

Find the Sample Variance and Sample Standard Deviation

n=10

s²=SSx/(n-1)

s²=1102.5/(10-1)

= 1102.5/9

= 122.5

Find the Sample Variance and Sample Standard Deviation

n=10

s²=SSx/(n-1)

s²=1102.5/(10-1)

= 1102.5/9

= 122.5

s=√s²

Find the Sample Variance and Sample Standard Deviation

n=10

s²=SSx/(n-1)

s²=1102.5/(10-1)

= 1102.5/9

= 122.5

s=√s²

s=√122.5

= 11.07

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