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HSC Commerce (English Medium) १२ वीं कक्षा - Maharashtra State Board Important Questions for Mathematics and Statistics

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Mathematics and Statistics
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For a certain bivariate data of a group of 10 students, the following information gives the internal marks obtained in English (X) and Hindi (Y):

  X Y
Mean 13 17
Standard Deviation 3 2

If r = 0.6, Estimate x when y = 16 and y when x = 10

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients
x y `x - barx` `y - bary` `(x - barx)(y - bary)` `(x - barx)^2` `(y - bary)^2`
1 5 – 2 – 4 8 4 16
2 7 – 1 – 2 `square` 1 4
3 9 0 0 0 0 0
4 11 1 2 2 4 4
5 13 2 4 8 1 16
Total = 15 Total = 45 Total = 0 Total = 0 Total = `square` Total = 10 Total = 40

Mean of x = `barx = square`

Mean of y = `bary = square`

bxy = `square/square`

byx = `square/square`

Regression equation of x on y is `(x - barx) = "b"_(xy)  (y - bary)`

∴ Regression equation x on y is `square`

Regression equation of y on x is `(y - bary) = "b"_(yx)  (x - barx)`

∴ Regression equation of y on x is `square`

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

For certain bivariate data on 5 pairs of observations given:

∑x = 20, ∑y = 20, ∑x2 = 90, ∑y2 = 90, ∑xy = 76 then bxy = ______.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

The following results were obtained from records of age (x) and systolic blood pressure (y) of a group of 10 women.

  x y
Mean 53 142
Variance 130 165

`sum(x_i - barx)(y_i - bary)` = 1170

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

For a bivariate data:

`sum(x - overlinex)^2` = 1200, `sum(y - overliney)^2` = 300, `sum(x - overlinex)(y - overliney)` = – 250

Find: 

  1. byx
  2. bxy
  3. Correlation coefficient between x and y.
Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Properties of Regression Coefficients

Following table shows the all India infant mortality rates (per '000) for years 1980 to 2010:

Year 1980 1985 1990 1995 2000 2005 2010
IMR 10 7 5 4 3 1 0

Fit the trend line to the above data by the method of least squares.

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: The Method of Least Squares

For a bivariate data `barx = 10`, `bary = 12`, V(X) = 9, σy = 4 and r = 0.6
Estimate y when x = 5

Solution: Line of regression of Y on X is

`"Y" - bary = square ("X" - barx)`

∴ Y − 12 = `r.(σ_y)/(σ_x)("X" - 10)`

∴ Y − 12 = `0.6 xx 4/square ("X" - 10)`

∴ When x = 5

Y − 12 = `square(5 - 10)`

∴ Y − 12 = −4

∴ Y = `square`

Appears in 1 question paper
Chapter: [11] Linear Regression
Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression

Obtain the trend values for the data in using 4-yearly centered moving averages.

Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985
Index 0 2 3 3 2 4 5 6 7 10
Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

Moving averages are useful in identifying ______. 

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Components of a Time Series

Which component of time series refers to erratic time series movements that follow no recognizable or regular pattern?

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Components of a Time Series

Fill in the blank :

_______ component of time series is indicated by a smooth line.

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Components of a Time Series

The simplest method of measuring trend of time series is ______.

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

Solve the following problem:

Following data shows the number of boxes of cereal sold in years 1977 to 1984.

Year 1977 1978 1979 1980 1981 1982 1983 1984
No. of boxes in ten thousand 1 0 3 8 10 4 5 8

Fit a trend line to the above data by graphical method.

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

Which of the following can’t be a component of a time series?

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Components of a Time Series

Choose the correct alternative:

The following trend line equation was developed for annual sales from 1984 to 1990 with 1984 as base or zero year.

Y = 500 + 60X (in 1000 ₹). The estimated sales for 1984 (in 1000 ₹) is

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Components of a Time Series

The complicated but efficient method of measuring trend of time series is ______

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

State whether the following statement is True or False: 

Moving average method of finding trend is very complicated and involves several calculations

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

Following table shows the amount of sugar production (in lac tons) for the years 1971 to 1982

Year 1971 1972 1973 1974 1975 1976
Production 1 0 1 2 3 2
Year 1977 1978 1979 1980 1981 1982
Production 4 6 5 1 4 10

Fit a trend line by the method of least squares

Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

Obtain the trend values for the data, using 3-yearly moving averages

Year 1976 1977 1978 1979 1980 1981
Production 0 4 4 2 6 8
Year 1982 1983 1984 1985 1986  
Production 5 9 4 10 10  
Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend

Use the method of least squares to fit a trend line to the data given below. Also, obtain the trend value for the year 1975.

Year 1962 1963 1964 1965 1966 1967 1968 1969
Production
(million barrels)
0 0 1 1 2 3 4 5
Year 1970 1971 1972 1973 1974 1975 1976  
Production
(million barrels)
6 8 9 9 8 7 10  
Appears in 1 question paper
Chapter: [12] Time Series
Concept: Measurement of Secular Trend
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