Correlation Analysis Class 11 OP Malhotra Exe-29A ISC Maths Solutions

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Correlation Analysis Class 11 OP Malhotra Exe-29A ISC Maths Ch-29 Solutions. In this article you would learn about Methods of Studying Correlation. Step by step solutions of latest textbook has been given as latest syllabus. Visit official Website CISCE for detail information about ISC Board Class-11 Mathematics.

Correlation Analysis Class 11 OP Malhotra Exe-29A ISC Maths Solutions

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Correlation Analysis Class 11 OP Malhotra Exe-29A ISC Maths Solutions Ch-29

Board ISC
Publications  S Chand
Subject Maths
Class 11th
Chapter-29 Correlation Analysis
Writer O.P. Malhotra
Exe-29(A) Methods of Studying Correlation

Methods of Studying Correlation.

Correlation Analysis Class 11 OP Malhotra Exe-29A ISC Maths Ch-29 Solutions.

Que-1: A physicist is experimenting with the resistance in a circuit she is using. She measures and records the resulting current.
Que-1: A physicist is experimenting with the resistance in a circuit she is using. She measures and records the resulting current.
(i) Draw a scatter graph of her results.
(ii) Estimate the current for a resistance of 40 ohms.
(iii) Estimate the resistance for a current of 7.5 amps.

Sol: (i) Plot the points (5, 10), (10, 4.9), (15, 3.2), (20, 2.4), (25, 1.9), (30, 1.7) and (50, 1.0) on graph paper.
Que-1: A physicist is experimenting with the resistance in a circuit she is using. She measures and records the resulting current. (i) Draw a scatter graph of her results.
(ii) Clearly from scatter diagram, the corresponding current for a resistance of 40 ohms be 1.3 amps.
(iii) Clearly from scatter diagram, the corresponding value of resistance for current of 7.5 amps be 6.5 ohms.

Que-2: In a small survey the heights of eight boys were measured and their shoe sizes were recorded.
Que-2: In a small survey the heights of eight boys were measured and their shoe sizes were recorded. Draw a scatter graphs and use it to find out whether there is a relationship between these sets of data.
Draw a scatter graphs and use it to find out whether there is a relationship between these sets of data.

Sol: 
Que-2: In a small survey the heights of eight boys were measured and their shoe sizes were recorded. Draw a scatter graphs and use it to find out whether there is a relationship between these sets of data.
The plotted points are approximately lie along a straight line suggesting that the shoe size of a boy is related to his height.
TYPE 2. (Based on first formula : r = {Σdxdy} / √{(Σd2x)(∑d2y)}, where dx = x – x¯, dy = y – y¯)

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Que-3: Calculate Karl Pearson’s coefficient of correlation between the values of X and Y for the following data. Comment on the value of r.
Calculate Karl Pearson’s coefficient of correlation between the values of X and Y for the following data. Comment on the value of r.

Sol: We construct the table of values is as under:
Que-3: Calculate Karl Pearson’s coefficient of correlation between the values of X and Y for the following data. Comment on the value of r.
Here X¯ = (1+2+3+4+5)/5 = 15/5 = 3
and Y¯ = (7+6+5+4+3)/5 = 25/5 = 5
Thus coefficient of correlation
Que-3: Calculate Karl Pearson’s coefficient of correlation between the values of X and Y for the following data. Comment on the value of r.
since r = – 1, which shows perfect negative correlation between X and Y.

Que-4:
ISC CLASS-11 OP Malhotra ch-29 exe-29A Que-4:

Sol: We construct the table of values is given as under :
ISC CLASS-11 OP Malhotra ch-29 exe-29A Que-4: Solution

Here X¯ = ΣX/n = 45/9 = 5
and Y¯ = ΣY/n = 135/9 = 15
Karl Pearson’s coeff. of correlation r = {ΣdXdY} / √{Σd2X√Σd2Y}
= 56 / (√60√60) = 56/60 = 14/15 = 0.933
which shows that their is a high positive correlation between X and Y.

Que-5:
ISC CLASS-11 OP Malhotra ch-29 exe-29A Que-5:

Sol: Given sum of the squares of deviation from the mean of series X=d2X=Σ(X−X¯¯¯¯)=136
d²Y = Σ(Y−Y¯)² = 138
dXdY = Σ(X−X¯)(Y−Y¯) = 122
∴ r = {ΣdXdY} / √{Σd2X√Σd2Y} = 122 / {√136√138} = 0.89
So there is high positive correlation between X and Y.

Que-6: Calculate the Pearson’s coefficient of correlation between the ages of husband and wife.
Calculate the Pearson’s coefficient of correlation between the ages of husband and wife.

Sol: We construct the table of values is given as under :
Que-6: Calculate the Pearson’s coefficient of correlation between the ages of husband and wife.
x¯ = Σx/n = 266/7 = 38
and y¯ = Σy/n = 231/7 = 33
r = {Σdxdy} / √{Σd2x√Σd2y} = 600 / {√702√584} = 0.937

Que-7: Given r = 0.8, Σxy = 60, σy = 2.5 and Σx2 = 90, find the number of items. x and y are deviations from their respective mean.
Sol: Given r = 0.8 ; Σxy = Σ(x – x¯)(y – y¯)=60 ; σy = 2.5 ; Σx2 = Σ(x –x¯)2 = 90
Que-7: Given r = 0.8, Σxy = 60, σy = 2.5 and Σx2 = 90, find the number of items. x and y are deviations from their respective mean.
Calculate Karl Pearson’s coefficient of correlation between the values of x and y for the following data.
Que-8: (1,2), (2,4), (3,8), (4,7), (5,10), (6,5), (7,14), (8,16), (9,2), (10,20)

Sol: We construct the table of values is given as under :
Que-8: (1,2), (2,4), (3,8), (4,7), (5,10), (6,5), (7,14), (8,16), (9,2), (10,20)
Que-8: (1,2), (2,4), (3,8), (4,7), (5,10), (6,5), (7,14), (8,16), (9,2), (10,20)

Que-9:
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-9:

Sol: We construct table of values is given as under:
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-9: Solution

Que-10: n = 50, Σx = 75, Σy = 80, Σx2 = 150, Σy2 = 140, Σxy = 120.

Sol: Given n = 50 ; Σx = 75 ; Σy = 80 ; Σx2 = 150 ; Σy2 = 140 and Σxy = 120
Que-10: n = 50, Σx = 75, Σy = 80, Σx2 = 150, Σy2 = 140, Σxy = 120.

Que-11: n = 10, Σx = 55, Σy = 40, Σx2 = 385, Σy2 = 192 and Σ(x + y)2 = 947.

Sol: Given n = 10 ; Σx = 55 ; Σy = 40 ; Σx2 = 385, Σy2 = 192
and Σ(x + y)2 = 947
⇒ 948 = Σ(x2 + y2 + 2xy)
⇒ 947 = Σx2 + Σy2 + 2Σxy
⇒ 947 = 385 + 192 + 2Σxy
⇒ 947 = 577 + 2Σxy
⇒ 2Σxy = 370
⇒ Σxy = 185
Coefficient of correlation
Que-11: n = 10, Σx = 55, Σy = 40, Σx2 = 385, Σy2 = 192 and Σ(x + y)2 = 947.
Where u = X – A or (X−A)/h, v = Y – B or (Y−B)/k, A and B being assumed means.

Que-12:
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-12:

Sol: Let Assumed mean for series X be 20 i.e. A = 20 and for series Y be 25 i.e. B = 25, Here n = 8 We construct the table of values is an under:
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-12: Solution
Thus using formula, we have
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-12: Solution

Que-13:
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-13:

Sol: 
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-13: Solution
ISC CLASS-11 OP Malhotra ch-29 Exe-29A Que-13: Solution
So there is a positive and perfect correlation between X an Y.

Que-14: Calculate Karl Pearson’s correlation coefficient between the marks in English and Hindi obtained by 10 students.
Calculate Karl Pearson’s correlation coefficient between the marks in English and Hindi obtained by 10 students.

Sol: We construct the table of values is given as under :
Calculate Karl Pearson’s correlation coefficient between the marks in English and Hindi obtained by 10 students.

Que-15: Show that the coefficient of correlation ρ between two variables x and y is given by ρ = {σ²x+σ²y–σ²(x−y)} / (2σyσx) where σ²x,σ²y and σ²(x−y) are the variances of x, y and x-y respectively

Sol: 
Que-15: Show that the coefficient of correlation ρ between two variables x and y is given by ρ = {σ²x+σ²y–σ²(x−y)} / (2σyσx) where σ²x,σ²y and σ²(x−y) are the variances of x, y and x-y respectively

Que-16: A computer expert while calculating correlation coefficient between X and Y from 25 pairs of observations obtained the following results :
n = 25, ΣX = 125, ΣX2 = 650, ΣY = 100, ΣY2 = 460, ΣXY = 508
It was, however, later discovered at the time of checking that he had copied down two pairs as  Que-16: A computer expert while calculating correlation coefficient between X and Y from 25 pairs of observations obtained the following results : n = 25, ΣX = 125, ΣX2 = 650, ΣY = 100, ΣY2 = 460, ΣXY = 508 It was, however, later discovered at the time of checking that he had copied down two pairs as  while the correct values were  Obtain the correct value of correlation coefficient.  while the correct values were  Que-16: A computer expert while calculating correlation coefficient between X and Y from 25 pairs of observations obtained the following results : n = 25, ΣX = 125, ΣX2 = 650, ΣY = 100, ΣY2 = 460, ΣXY = 508 It was, however, later discovered at the time of checking that he had copied down two pairs as  while the correct values were  Obtain the correct value of correlation coefficient.  Obtain the correct value of correlation coefficient.

Sol: Given n = 25, ΣX = 125 ; ΣX2 = 650 ; ΣY2 = 460 ; ΣY = 100 ; ΣXY = 508
Corrected ΣX = Given ΣX – (Sum of incorrect values) + (Sum of correct values) = 125 – (6 + 8) + (8 + 6) = 125
Corrected ΣX2 = Given ΣX2 – (62 + 82) + (82 + 62) = 650 – 100 + 100 = 650
Corrected ΣXY = Given ΣXY – (6 × 14 + 8 × 6) + (8 × 12 + 6 × 8) = 508 – (84 + 48) + (96 + 48) = 520
Corrected ΣY = 100 – (14 + 6) + (12 + 8) = 100
Corrected ΣY2 = 460 – (142 + 62) +(122 + 82) = 436
Que-16: A computer expert while calculating correlation coefficient between X and Y from 25 pairs of observations obtained the following results : n = 25, ΣX = 125, ΣX2 = 650, ΣY = 100, ΣY2 = 460, ΣXY = 508 It was, however, later discovered at the time of checking that he had copied down two pairs as  while the correct values were  Obtain the correct value of correlation coefficient.

Que-17: A computer obtained the data: n = 30, Σx = 120, Σy = 90, Σx2 = 600, Σy2 = 250 and Σxy = 56. Later on, it was found that pairs A computer obtained the data: n = 30, Σx = 120, Σy = 90, Σx2 = 600, Σy2 = 250 and Σxy = 56. Later on, it was found that pairs are wrong while the correct values are A computer obtained the data: n = 30, Σx = 120, Σy = 90, Σx2 = 600, Σy2 = 250 and Σxy = 56. Later on, it was found that pairs Find the correct values of ρ(X, Y).

Sol: Given n = 30; Σx = 120; Σy = 90; Σx2 = 600 ; Σy2 = 250 and Σxy = 356
Corrected Σx = Given Σx – (Sum of incorrect values) + (Sum of correct values) = 120 – (8 + 12) + (8 + 10) = 118
Corrected Σx2 = 600 – (82 + 122) + (82 + 102) = 556
Corrected Σy = 90 – (10 + 7) + (12 + 8) = 93
Corrected Σy2 = 250 – (102 + 72) + (122 + 82) = 309
Corrected Σxy = 356 – (8 × 10 + 12 × 7) + (8 × 12 + 10 × 8) = 368
Given n = 30; Σx = 120; Σy = 90; Σx2 = 600 ; Σy2 = 250 and Σxy = 356 Corrected Σx = Given Σx – (Sum of incorrect values) + (Sum of correct values) = 120 – (8 + 12) + (8 + 10) = 118 Corrected Σx2 = 600 – (82 + 122) + (82 + 102) = 556 Corrected Σy = 90 – (10 + 7) + (12 + 8) = 93 Corrected Σy2 = 250 – (102 + 72) + (122 + 82) = 309 Corrected Σxy = 356 – (8 × 10 + 12 × 7) + (8 × 12 + 10 × 8) = 368

Que-18: Show that Pearson’s coefficient of correlation lies between -1 and +1 , i.e., -1 ≤ r ≤ 1 or | r | ≤ 1.

Sol: 
Que-18: Show that Pearson’s coefficient of correlation lies between -1 and +1 , i.e., -1 ≤ r ≤ 1 or | r | ≤ 1.

–: End of Correlation Analysis Class 11 OP Malhotra Exe-29A ISC Maths Ch-29 Solutions. :–

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