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HSC Commerce (English 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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State whether the following statement is True or False:

If x = 2at, y = 2a, where t is parameter, then `("d"y)/("d"x) = 1/"t"`

[3] Differentiation
Chapter: [3] Differentiation
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State whether the following statement is True or False:

If x = 5m, y = m, where m is parameter, then `("d"y)/("d"x) = 1/5`

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

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If x = `(4"t")/(1 + "t"^2)`, y = `3((1 - "t"^2)/(1 + "t"^2))`, then show that `("d"y)/("d"x) = (-9x)/(4y)` 

[3] Differentiation
Chapter: [3] Differentiation
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Find `("d"y)/("d"x)`, if x = em, y = `"e"^(sqrt("m"))`

Solution: Given, x = em and y = `"e"^(sqrt("m"))`

Now, y = `"e"^(sqrt("m"))`

Diff.w.r.to m,

`("d"y)/"dm" = "e"^(sqrt("m"))("d"square)/"dm"`

∴ `("d"y)/"dm" = "e"^(sqrt("m"))*1/(2sqrt("m"))`    .....(i)

Now, x = em

Diff.w.r.to m,

`("d"x)/"dm" = square`    .....(ii)

Now, `("d"y)/("d"x) = (("d"y)/("d"m))/square`

∴ `("d"y)/("d"x) = (("e"sqrt("m"))/square)/("e"^"m")`

∴  `("d"y)/("d"x) = ("e"^(sqrt("m")))/(2sqrt("m")*"e"^("m")`

[3] Differentiation
Chapter: [3] Differentiation
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State whether the following statement is True or False:   

A homogeneous differential equation is solved by substituting y = vx and integrating it

[8] Differential Equation and Applications
Chapter: [8] Differential Equation and Applications
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Choose the correct alternative:

The slope of the line of regression of y on x is called the ______

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

If the lines of regression of Y on X is y = `x/4` and X on Y is x = `y/9 + 1` then the value of r is

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

u = `(x - 20)/5` and v = `(y - 30)/4`, then bxy

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

y = 5 – 2.8x and x = 3 – 0.5 y be the regression lines, then the value of byx is 

[11] Linear Regression
Chapter: [11] Linear Regression
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State whether the following statement is True or False:

The equations of two regression lines are 10x – 4y = 80 and 10y – 9x = 40. Then bxy = 0.9

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

State whether the following statement is True or False:

y = 5 + 2.8x and x = 3 + 0.5y be the regression lines of y on x and x on y respectively, then byx = – 0.5

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

State whether the following statement is True or False:

If equation of regression lines are 3x + 2y – 26 = 0 and 6x + y – 31= 0, then mean of X is 7

[11] Linear Regression
Chapter: [11] Linear Regression
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State whether the following statement is True or False:

bxy is the slope of regression line of y on x

[11] Linear Regression
Chapter: [11] Linear Regression
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Among the given regression lines 6x + y – 31 = 0 and 3x + 2y – 26 = 0, the regression line of x on y is ______

[11] Linear Regression
Chapter: [11] Linear Regression
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If the regression equations are 8x – 10y + 66 = 0 and 40x – 18y = 214, the mean value of y is ______

[11] Linear Regression
Chapter: [11] Linear Regression
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The equations of the two lines of regression are 2x + 3y − 6 = 0 and 5x + 7y − 12 = 0. Identify the regression lines

[11] Linear Regression
Chapter: [11] Linear Regression
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The age in years of 7 young couples is given below. Calculate husband’s age when wife’s age is 38 years.

Husband (x) 21 25 26 24 22 30 20
Wife (y) 19 20 24 20 22 24 18
[11] Linear Regression
Chapter: [11] Linear Regression
Concept: undefined >> undefined

The equations of the two lines of regression are 6x + y − 31 = 0 and 3x + 2y – 26 = 0. Identify the regression lines

[11] Linear Regression
Chapter: [11] Linear Regression
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The equations of the two lines of regression are 6x + y − 31 = 0 and 3x + 2y – 26 = 0. Calculate the mean values of x and y

[11] Linear Regression
Chapter: [11] Linear Regression
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Two samples from bivariate populations have 15 observations each. The sample means of X and Y are 25 and 18 respectively. The corresponding sum of squares of deviations from means are 136 and 148 respectively. The sum of product of deviations from respective means is 122. Obtain the regression equation of x on y

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