Measures of Dispersion — Class 11 Maharashtra HSC Mathematics revision notes
A 4-page visual revision sheet for Measures of Dispersion, written for Class 11 Maharashtra HSC Mathematics. Formulas, diagrams and the traps that cost marks, laid out to be read the night before rather than the term before. Free, and it opens inside CapCompass.
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Measures of Dispersion in one look
same mean, three very different teams: the average never tells the whole story
Why the mean is not enough
dispersion is the extent to which observations deviate from their average value
three batsmen X, Y, Z: same size (n=5), same mean (50), very different swings
an average that ignores this spread cannot say who is the more dependable player
range, variance and standard deviation are the three measures of dispersion used here
Same mean, different spread: runs scored in 5 ODIs
Batsman
Runs scored
Total
Mean
X
90, 17, 104, 33, 6
250
50
Y
40, 60, 55, 50, 45
250
50
Z
112, 8, 96, 29, 5
250
50
Range
definitionRange=L-S
Range of raw data
Q. weights (in kg) of 10 students are 70, 62, 38, 55, 43, 73, 36, 58, 65, 47. Find the range
smallest value S=36, largest value L=73
Range=L-S=73-36
Answer: 37 kg
Variance and Standard Deviation
range only looks at two values; variance and SD use every observation's own deviation
variance of X: mean of the squared deviations from its own mean, written Var(X) or σ^2
standard deviation is the positive square root of the variance, written σ
Variance and SD for raw data
variance, by definitionVar(X)=σ^2=1/nΣ(x_i-x)^2
variance, computing formσ^2=1/nΣ x_i^2-x^2
standard deviationσ=√Var(X)
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What this Measures of Dispersion sheet covers
Why the mean is not enough
Same mean, different spread: runs scored in 5 ODIs
Range
definition
Range of raw data
Variance and Standard Deviation
Variance and SD for raw data
variance, by definition
variance, computing form
standard deviation
Why the shortcut variance formula works
Variance and SD for frequency distributions
ungrouped, values x_i with frequencies f_i
grouped, x_i is the class mid-value
where
Variance of raw data
Change of origin and scale
Step-deviation method
substitution, A a convenient origin, h the class width
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