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HSC Commerce (English Medium) इयत्ता ११ वी - Maharashtra State Board Question Bank Solutions for Mathematics and Statistics

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Mathematics and Statistics
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Evaluate the following limit:

`lim_(x->5)[(x^3 -125)/(x^5 - 3125)]`

[1.7] Limits
Chapter: [1.7] Limits
Concept: undefined >> undefined

Evaluate the following limit:

`lim_(x ->7)[((root3x - root3(7))(root3x + root3(7)))/(x - 7)]`

[1.7] Limits
Chapter: [1.7] Limits
Concept: undefined >> undefined

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Evaluate the following limit:

`lim_(x->-2)[(x^7 + x^5 + 160)/(x^3 + 8)]`

[1.7] Limits
Chapter: [1.7] Limits
Concept: undefined >> undefined

Find the various and S.D. for the following set of numbers.

7, 11, 2, 4, 9, 6, 3, 7, 11, 2, 5, 8, 3, 6, 8, 8, 8, 2, 6

[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

Find the various and S.D. for the following set of numbers.
65, 77, 81, 98, 100, 80, 129

[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

Compute variance and standard deviation for the following data:

x 2 4 6 8 10
f 5 4 3 2 1
[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

Compute the variance and S.D.

x 1 3 5 7 9
Frequency 5 10 20 10 5
[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

Following data gives age of 100 students in a school. Calculate variance and S.D.

Age (In years) 10 11 12 13 14
No. of students 10 20 40 20 10
[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

The mean and variance of 5 observations are 3 and 2 respectively. If three of the five observations are 1, 3 and 5, find the values of other two observations.

[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

Obtain standard deviation for the following date:

Height (in inches) 60 – 62 62 – 64 64 – 66 66 – 68 68 – 70
Number of students 4 30 45 15 6
[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

The following distribution was obtained change of origin and scale of variable X.

di – 4 – 3 – 2 – 1 1 2 3 4
fi 4 8 14 18 20 14 10 6 6

If it is given that mean and variance are 59.5 and 413 respectively, determine actual class intervals.

[2.2] Measures of Dispersion
Chapter: [2.2] Measures of Dispersion
Concept: undefined >> undefined

Following tale gives income (X) and expenditure (Y) of 25 families:

Y/X 200 – 300 300 – 400 400 –  500
200 – 300 IIII I IIII I I
300 – 400 IIII IIII I
400 –  500 II

Find Conditional frequency distribution of X when Y is between 300 – 400.

[2.4] Bivariate Frequency Distribution and Chi Square Statistic
Chapter: [2.4] Bivariate Frequency Distribution and Chi Square Statistic
Concept: undefined >> undefined

Following tale gives income (X) and expenditure (Y) of 25 families:

Y/X 200 – 300 300 – 400 400 – 500
200 – 300 IIII I IIII I I
300 – 400 IIII IIII I
400 – 500 II

Find Conditional frequency distribution of Y when X is between 200 – 300.

[2.4] Bivariate Frequency Distribution and Chi Square Statistic
Chapter: [2.4] Bivariate Frequency Distribution and Chi Square Statistic
Concept: undefined >> undefined

Following data gives height in cm (X) and weight in kgs (Y) of 20 boys. Prepare a bivariate frequency table taking class intervals 150-154, 155-159...etc. for X and 35-39, 40-44 ...etc. for Y. Also find conditional frequency distribution of Y when 155 ≤ X ≤ 159
(152, 40) (160, 54) (163, 52) (150, 35) (154, 36) (160, 49) (166, 54) (157, 38) (159, 43) (153, 48) (152, 41) (158, 51) (155, 44) (156, 47) (156, 43) (166, 53) (160, 50) (151, 39) (153, 50) (158, 46)

[2.4] Bivariate Frequency Distribution and Chi Square Statistic
Chapter: [2.4] Bivariate Frequency Distribution and Chi Square Statistic
Concept: undefined >> undefined

Find correlation coefficient between x and y series for the following data.
n = 15, `bar"x"` = 25, `bar"y"` = 18, σx = 3.01, σy = 3.03, `sum("x"_"i" - bar"x") ("y"_"i" - bar"y")` = 122

[2.5] Correlation
Chapter: [2.5] Correlation
Concept: undefined >> undefined

The correlation coefficient between two variables x and y are 0.48. The covariance is 36 and the variance of x is 16. Find the standard deviation of y.

[2.5] Correlation
Chapter: [2.5] Correlation
Concept: undefined >> undefined

In the following data one of the value y of is missing. Arithmetic means of x and y series are 6 and 8 respectively. `(sqrt(2) = 1.4142)`

x 6 2 10 4 8
y 9 11 ? 8 7

Calculate the correlation coefficient

[2.5] Correlation
Chapter: [2.5] Correlation
Concept: undefined >> undefined

Find correlation coefficient from the following data. `["Given:" sqrt(3) = 1.732]`

x 3 6 2 9 5
y 4 5 8 6 7
[2.5] Correlation
Chapter: [2.5] Correlation
Concept: undefined >> undefined

Correlation coefficient between x and y is 0.3 and their covariance is 12. The variance of x is 9, Find the standard deviation of y.

[2.5] Correlation
Chapter: [2.5] Correlation
Concept: undefined >> undefined

A letter lock has 3 rings and each ring has 5 letters. Determine the maximum number of trials that may be required to open the lock.

[2.6] Permutations and Combinations
Chapter: [2.6] Permutations and Combinations
Concept: undefined >> undefined
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