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HSC Commerce: Marketing and Salesmanship 12th Standard Board Exam - Maharashtra State Board Question Bank Solutions for Mathematics and Statistics

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Mathematics and Statistics
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The two regression equations are 5x − 6y + 90 = 0 and 15x − 8y − 130 = 0. Find `bar x, bar y`, r.

[11] Linear Regression
Chapter: [11] Linear Regression
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Two lines of regression are 10x + 3y − 62 = 0 and 6x + 5y − 50 = 0. Identify the regression of x on y. Hence find `bar x, bar y` and r.

[11] Linear Regression
Chapter: [11] Linear Regression
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For certain X and Y series, which are correlated the two lines of regression are 10y = 3x + 170 and 5x + 70 = 6y. Find the correlation coefficient between them. Find the mean values of X and Y.

[11] Linear Regression
Chapter: [11] Linear Regression
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Regression equations of two series are 2x − y − 15 = 0 and 3x − 4y + 25 = 0. Find `bar x, bar y` and regression coefficients. Also find coefficients of correlation. [Given `sqrt0.375` = 0.61]

[11] Linear Regression
Chapter: [11] Linear Regression
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The two regression lines between height (X) in inches and weight (Y) in kgs of girls are,
4y − 15x + 500 = 0
and 20x − 3y − 900 = 0
Find the mean height and weight of the group. Also, estimate the weight of a girl whose height is 70 inches.

[11] Linear Regression
Chapter: [11] Linear Regression
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Find the line of regression of X on Y for the following data:

n = 8, `sum(x_i - bar x)^2 = 36, sum(y_i - bar y)^2 = 44, sum(x_i - bar x)(y_i - bar y) = 24`

[11] Linear Regression
Chapter: [11] Linear Regression
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The following results were obtained from records of age (X) and systolic blood pressure (Y) of a group of 10 men.

  X Y
Mean 50 140
Variance 150 165

and `sum (x_i - bar x)(y_i - bar y) = 1120`. Find the prediction of blood pressure of a man of age 40 years.

[11] Linear Regression
Chapter: [11] Linear Regression
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The equations of two regression lines are 10x − 4y = 80 and 10y − 9x = − 40 Find:

  1. `bar x and bar y`
  2. bYX and bXY
  3. If var (Y) = 36, obtain var (X)
  4. r
[11] Linear Regression
Chapter: [11] Linear Regression
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If bYX = − 0.6 and bXY = − 0.216, then find correlation coefficient between X and Y. Comment on it.

[11] Linear Regression
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The Cost of Living Index Number for years 1995 and 1999 are 140 and 200 respectively. A person earns ₹ 11,200 per month in the year 1995. What should be his monthly earnings in the year 1999 in order to maintain his standard of living as in the year 1995?

[13] Index Numbers
Chapter: [13] Index Numbers
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Solve the following problem :

Calculate the cost of living number for the following data.

Group Base Year Current Year
  Price
p0
Quantity
q0
Price
p1
Food 150 13 160
Clothing 170 18 150
Fuel and Lighting 175 10 190
House Rent 200 12 210
Miscellaneous 210 15 260
[13] Index Numbers
Chapter: [13] Index Numbers
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Solve the following problem :

The cost of living index number for year 2000 and 2003 are 150 and 210 respectively. A person earns ₹ 13,500 per month in the year 2000. What should be his monthly earning in the year 2003 in order to maintain the same standard of living?

[13] Index Numbers
Chapter: [13] Index Numbers
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Find the optimal sequence that minimizes total time required to complete the following jobs in the order ABC. The processing times are given in hrs.

Job 1 2 3 4 5
Machine A 5 7 6 9 5
Machine B 2 1 4 5 3
Machine C 3 7 5 6 7
[15] Assignment Problem and Sequencing
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A publisher produces 5 books on Mathematics. The books have to go through composing, printing and binding done by 3 machines P, Q, R. The time schedule for the entire task in proper unit is as follows.

Book A B C D E
Machine P 4 9 8 6 5
Machine Q 5 6 2 3 4
Machine R 8 10 6 7 11

Determine the optimum time required to finish the entire task.

[15] Assignment Problem and Sequencing
Chapter: [15] Assignment Problem and Sequencing
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In sequencing, an optimal path is one that minimizes _______.

[15] Assignment Problem and Sequencing
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If jobs A to D have processing times as 5, 6, 8, 4 on first machine and 4, 7, 9, 10 on second machine then the optimal sequence is ______.

[15] Assignment Problem and Sequencing
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Solve the following problem :

Consider the problem of assigning five operators to five machines. The assignment costs are given in following table.

Operator Machine
1 2 3 4 5
A 6 6 3 7
B 8 5 3 4 5
C 10 4 6 4
D 8 3 7 8 3
E 7 6 8 10 2

Operator A cannot be assigned to machine 3 and operator C cannot be assigned to machine 4. Find the optimal assignment schedule.

[15] Assignment Problem and Sequencing
Chapter: [15] Assignment Problem and Sequencing
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Solve the following problem :

A chartered accountant’s firm has accepted five new cases. The estimated number of days required by each of their five employees for each case are given below, where - means that the particular employee cannot be assigned the particular case. Determine the optimal assignment of cases of the employees so that the total number of days required to complete these five cases will be minimum. Also find the minimum number of days.

Employee Cases
I II III IV V
E1 6 4 5 7 8
E2 7 8 6 9
E3 8 6 7 9 10
E4 5 7 4 6
E5 9 5 3 10
[15] Assignment Problem and Sequencing
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Choose the correct alternative:

If for a bivariate data, bYX = – 1.2 and bXY = – 0.3, then r = ______

[11] Linear Regression
Chapter: [11] Linear Regression
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Choose the correct alternative:

If the regression equation X on Y is 3x + 2y = 26, then bxy equal to 

[11] Linear Regression
Chapter: [11] Linear Regression
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