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Example of Product moment correlation
The given data was acquired during a social survey conducted in a described urban area regarding the yearly income of described families and the corresponding expenditures.
Family
(x)Annual income £ 000
(y)Annual expenditure £ 000
xy
x2
Y2
A
420
360
151200
176400
129600
B
380
390
148200
144400
152100
C
520
510
265200
270400
260100
D
610
500
305000
372100
250000
E
400
144000
160000
F
320
290
92800
102400
84100
G
280
250
70000
78400
62500
H
410
155800
168100
J
240
91200
57600
K
300
270
81000
90000
72900
Total
4020
3550
1504400
1706600
1342900
Required
Compute the product moment correlation coefficient briefly comment on the value acquired
The produce moment correlation:
Workings:
x¯ = 4020/10 = 402
y¯ = 3550/10 = 355
= 0.89
Comment: The value acquired 0.89 suggests that the correlation between annual expenditure and annual income is high and positive. This shows that the more one earns the more one spends.
Y=θ[SIN(INθ)+COS(INθ)],THEN FIND dy÷dθ. Solution) Y=θ[SIN(INθ)+COS(INθ)] applying u.v rule then dy÷dθ={[ SIN(INθ)+COS(INθ) ] dθ÷dθ }+ {θ[ d÷dθ{SIN(INθ)+COS(INθ) ] } => SI
Define Markov chain Random processes with Markov property which takes separate values, whether t is discrete or continuous, are known as Markov chains.
expand (2x+7y)^
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defination of uper boundarie .
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128sinpower8=cos8-8cos6+28cos4-56cos2+35
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Express the GCD of 48 and 18 as a linear combination. (Ans: Not unique) A=bq+r, where o ≤ r 48=18x2+12 18=12x1+6 12=6x2+0 ∴ HCF (18,48) = 6 now 6
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