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HSC Commerce (Marathi Medium) इयत्ता १२ वी - Maharashtra State Board Question Bank Solutions for Mathematics and Statistics

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Mathematics and Statistics
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Obtain the trend values for the following data using 5 yearly moving averages:

Year 2000 2001 2002 2003 2004
Production
xi
10 15 20 25 30
Year 2005 2006 2007 2008 2009
Production
xi
35 40 45 50 55
[12] Time Series
Chapter: [12] Time Series
Concept: undefined >> undefined

Following table shows the amount of sugar production (in lakh tonnes) for the years 1931 to 1941:

Year Production Year Production
1931 1 1937 8
1932 0 1938 6
1933 1 1939 5
1934 2 1940 1
1935 3 1941 4
1936 2    

Complete the following activity to fit a trend line by method of least squares:

[12] Time Series
Chapter: [12] Time Series
Concept: undefined >> undefined

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If x2 + 6xy + y2 = 10, then show that `("d"^2y)/("d"x^2) = 80/(3x + y)^3`

[3] Differentiation
Chapter: [3] Differentiation
Concept: undefined >> undefined

For 50 students of a class, the regression equation of marks in statistics (X) on the marks in accountancy (Y) is 3y − 5x + 180 = 0.  The variance of marks in statistics is `(9/16)^"th"` of the variance of marks in accountancy. Find the correlation coefficient between marks in two subjects.

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

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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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
Concept: undefined >> undefined

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
Concept: undefined >> undefined

Choose the correct alternative:

If byx < 0 and bxy < 0, then r is ______

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

Choose the correct alternative:

|byx + bxy| ≥ ______

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

Choose the correct alternative:

Find the value of the covariance between X and Y, if the regression coefficient of Y on X is 3.75 and σx = 2, σy = 8

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

Choose the correct alternative:

bxy and byx are ______

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

Choose the correct alternative:

If r = 0.5, σx = 3, `σ_"y"^2` = 16, then byx = ______

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

Choose the correct alternative:

If r = 0.5, σx = 3, σy2 = 16, then bxy = ______

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

Choose the correct alternative:

Both the regression coefficients cannot exceed 1

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

State whether the following statement is True or False:

If byx = 1.5 and bxy = `1/3` then r = `1/2`, the given data is consistent

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

State whether the following statement is True or False: 

If bxy < 0 and byx < 0 then ‘r’ is > 0

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

State whether the following statement is True or False:

The following data is not consistent: byx + bxy =1.3 and r = 0.75

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

State whether the following statement is True or False: 

If u = x – a and v = y – b then bxy = buv 

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

State whether the following statement is True or False:

Corr(x, x) = 0

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

State whether the following statement is True or False:

Cov(x, x) = Variance of x

[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined
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