Deck 8: Probability, Correlation, and Index Numbers in Statistics
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Deck 8: Probability, Correlation, and Index Numbers in Statistics
1
Coefficient of correlation will be always
A)More than 0
B)More than -1
C)Less than -1
D)Between -1 and +1
A)More than 0
B)More than -1
C)Less than -1
D)Between -1 and +1
Between -1 and +1
2
We can measure the cause and effect relationship by the help of
A)Time series analysis
B)Cross-sectional analysis
C)Correlation analysis
D)Regression analysis
A)Time series analysis
B)Cross-sectional analysis
C)Correlation analysis
D)Regression analysis
Regression analysis
3
The total events to throw three dice simultaneously is
A)6
B)18
C)21
D)216
A)6
B)18
C)21
D)216
216
4
When the two regression lines are parallel to each other, then their slopes are
A)Zero
B)Different
C)Same
D)Positive
A)Zero
B)Different
C)Same
D)Positive
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5
In scatter diagram, if most of the points lie in the first and third quadrants, then coefficient of correlation is:
A)Negative
B)Positive
C)Zero
D)All the above
A)Negative
B)Positive
C)Zero
D)All the above
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6
Correlation does not imply
A)negative correlation
B)cause-effect relationship
C)relativity
D)correction relationship
A)negative correlation
B)cause-effect relationship
C)relativity
D)correction relationship
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7
If both the variables are varying in the same direction, the correlation is said to be
A)Positive correlation
B)Negative correlation
C)Partial correlation
D)None of the above
A)Positive correlation
B)Negative correlation
C)Partial correlation
D)None of the above
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8
When two events cannot occur simultaneously in a single trial it is called
A)Mutually exclusive events
B)Collectively exclusive events
C)Mutually exhaustive events
D)None of the above
A)Mutually exclusive events
B)Collectively exclusive events
C)Mutually exhaustive events
D)None of the above
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9
When the outcome of one event does not affect the outcome of the other it is said to be
A)Dependent event
B)Independent event
C)Mutually exclusive event
D)Equally likely events
A)Dependent event
B)Independent event
C)Mutually exclusive event
D)Equally likely events
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10
Regression coefficient is independent of
A)Origin
B)Scale
C)Both origin and scale
D)None of the above
A)Origin
B)Scale
C)Both origin and scale
D)None of the above
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11
The slope of regression line of Y on X is also called the
A)Correlation coefficient of Y on X
B)Correlation coefficient of X on Y
C)Regression coefficient of X on Y
D)Regression coefficient of Y on X
A)Correlation coefficient of Y on X
B)Correlation coefficient of X on Y
C)Regression coefficient of X on Y
D)Regression coefficient of Y on X
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12
Two events that cannot be happened simultaneously is known as:
A)Exhaustive events
B)Independent events
C)Mutually exclusive events
D)none of the above
A)Exhaustive events
B)Independent events
C)Mutually exclusive events
D)none of the above
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13
If two events A and B are mutually exclusive the probability of the occurrence of either A or B is the sum individual probability of A and B. This theorem is called:
A)Multiplication theorem
B)Addition theorem
C)Classical probability
D)Subtraction theorem
A)Multiplication theorem
B)Addition theorem
C)Classical probability
D)Subtraction theorem
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14
One card is drawn from a standard pack of 52. What is the probability that the card drawn is a king?
A)4/52
B)1/4
C)1/52
D)52/4
A)4/52
B)1/4
C)1/52
D)52/4
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15
A dice is thrown. Find the probability of getting an even number?
A)2/6
B)3/6
C)4/6
D)5/6
A)2/6
B)3/6
C)4/6
D)5/6
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16
If both variables are varying in the opposite direction, it is called:
A)Partial correlation
B)Positive correlation
C)High degree of correlation
D)Negative correlation
A)Partial correlation
B)Positive correlation
C)High degree of correlation
D)Negative correlation
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17
In perfect positive correlation:
A)r = 0
B)r = -1
C)r = +1
D)r = +/- 1
A)r = 0
B)r = -1
C)r = +1
D)r = +/- 1
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18
The total current year prices for the various commodities in question is divided by the total of base year prices and the quotient is multiplied under
A)simple aggregative method
B)simple average of relative method
C)weighted aggregative method
D)Laspeyres' methos
A)simple aggregative method
B)simple average of relative method
C)weighted aggregative method
D)Laspeyres' methos
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19
A component of time series used for short term forecast is
A)trend
B)seasonal
C)cyclical
D)irregular
A)trend
B)seasonal
C)cyclical
D)irregular
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