F.Y B.COM
SEMESTER - 2
BUSINESS STATISTICS
(BS)
MCQS = 2013-14
1. The _______ is the graphical method of measuring the relationship between two variables.
(a) Scatter diagram
(b) dot diagram
(c) both (a) and (b)
(d) none
2. If correlation coefficient r = +1; then correlation between both variables X and Y is said to be _______ .
(a) Positive
(b) Perfectly Positive
(c) negative
(d) perfectly negative
3. The range of Pearsonions’ coefficient of correlation is
(a) 0 to 1
(b) - 1 to + 1
(c) - ∞ to + ∞
(d) none of these
4. The variable which are used to predict the values of dependent variables are called _______
(a) independent variables
(b) explanatory variables
(c) both (a) and (b)
(d) none of these
5. If two lines of regression are perpendicular to each other then rxy = _______.
(a) 0
(b) + 1
(c) - 1
(d) none of these
6. A Time series consists of data arranged _______ .
(a) Geographically
(b) Chronologically
(c) either (a) or (b)
(d) both (a) and (b)
7. Seasonal variations are short term variations with period
(a) one year
(b) less than one year
(c) more than one year
(d) all of these
8. For the annual data _______ component of time series is absent.
(a) seasonal
(b) cyclical
(c) secular trend
(d) irregular
9. If the growth rate is constant, the trend is _______ .
(a) non linear
(b) curvilinear
(c) linear
(d) all of these
10. Which component of time series is associated with delay in production due to fire in factory ?
(a) seasonal
(b) secular trend
(c) irregular
(d) cyclical
F.Y B.COM
SEMESTER - 2
BUSINESS STATISTICS
(BS)
MCQS = 2014 - 15
1. _______ analysis attempts to determine the degree of relationship between variables.
(a) Regression
(b) Correlation
(c) Univariate
(d) All of the above
2. If the value of correlation coefficient r = +1, means _______ correlation between variables.
(a) very high degree
(b) positive
(c) perfectly positive
(d) all of the above
3. If correlation coefficient r = 0 then both regression lines are _______ to each other.
(a) parallel
(b) intersect
(c) perpendicular
(d) none
4. Regression line of _______ can be given as (Y - Y ) = byx (X - X )
(a) Y on X
(b) X on Y
(c) both
(d) none
5. The _______ are independent of change of origin but not of scale.
(a) regression coefficient
(b) correlation coefficient
(c) both
(d) none
6. Trend refers to long term tendency to _______ .
(a) increase only
(b) decrease only
(c) increase or decrease
(d) none
7. According to _______ model a time series is sum of its four components.
(a) increasing
(b) decreasing
(c) additive
(d) multiplicative
8. The most widely used method of measuring seasonal variations is _______.
(a) ratio to trend
(b) ratio to moving average
(c) semi-average
(d) none
9. Methods used in the study of secular trend are _______ .
(a) method of semi - average
(c) method of moving average
(b) method of least square
(d) all of the above
10. The study of seasonal variations is essential for making _______ range decisions.
(a) short
(b) long
(c) medium
(d) maximum
F.Y B.COM
SEMESTER - 2
BUSINESS STATISTICS
(BS)
MCQS = 2015 - 16
1. If the two variables X and Y deviates in the _______ direction is said to be Negative correlation.
(a) same
(b) left
(c) right
(d) opposite
2. If the plotted points in the Scatterdiagram are widely scattered then correlation between the variables is _______.
(a) poor
(b) high degree
(c) both
(d) none
3. _______ analysis is used to forecast the nature of dependent variable whern the value of independent variable is known.
(a) Regression
(b) Correlation
(c) both
(d) none
4. The ________ coefficient is independent of change of origin and scale of measurement.
(a) Regression
(b) Correlation
(c) Univariate
(d) All of above
5. A time series consist of data arranged _______ .
(a) chronologically
(b) geographically
(c) both
(d) none
6. Secular trend refers to _______ component of time series.
(a) short term
(b) long term
(c) both
(d) none
7. The trend equation of annual sales of a steel company is y - 12 - 0.7x then the yearly _______ of the time series is 0.7.
(a) increment
(b) decrement
(c) increase
(d) All of these
8. Methods used in the study of seasonal variations are _______ .
(a) method of simple - average
(c) method of ratio to moving average
(b) method of ratio to trend
(d) all of the above
9. The component of time series associated in the increase in garment sales during Diwali is _______.
(a) secular
(b) seasonal
(c) cyclical
(d) irregular
10. Regression coefficient of Y on C i.e. bud is given by _____.
(c) bxy
(d) rxy
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