Question # 1 of 10 ( Start time: 01:34:02 PM ) Total
Marks: 1
In a discrete distribution function, F(10) can be stated as:
P (there are at most 10 successes)
P (there are at least 10 successes)
P (there are less than 10 successes) Me:
P (there are more than 10 successes)
Question # 2 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let f(xi,yj) be the joint probability function of two discrete r.v’s X and Y, where i=1,2,3,4,....,m and j=1,2,3,4......n, then marginal probability function of X is defined as:
g(xi) = Sigma f(xi,yj) i
g(xi) = Sigma f(xi,yj) j
g(xi) = Sigma Sigma f(xi,yj) j i
None of these
Question # 3 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
The second moment-ratio of a particular continuous probability distribution found to be is 3.845. What does this value tell us about the distribution
Normal distribution
Higher peak than the normal distribution
Flatter than normal distribution
Neither very peaked nor flatter
Question # 4 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let f(xi,yj) be the joint probability function of two discrete r.v’s X and Y, where i=1,2,3,4,....m and j=1,2,3,4....n, then marginal probability function of Y is defined as:
h(y) = Sigma f(xi,yj) i
h(y) = Sigma f(xi,yj) j
h(y) = Sigma Sigma f(xi,yj) i j
None of these
Question # 5 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Which of the following is not true about the standard normal distribution?
The mean of any standard normal distribution is always 0.
The standard deviation of any standard normal distribution is always 1.
The standard normal distribution always looks normal.
The standard normal distribution always keeps the raw score distribution's shape.
Question # 6 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
In the FA examination, 24candidates offered Statistics. If the probability of passing the subject be 1/3, what will be the mean of the distribution?
7
8
6
5
Question # 7 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let X and Y are two random variables. Which property of expectation is true?
E(X – Y) = E(X) – E(Y)
E(X – Y) = E(X) – E(Y) + E(XY)
E(X – Y) = E(X) + E(Y) – E(XY)
E(X – Y) = E(X) + E(Y) – 2 E(XY)
Question # 8 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let X and Y are TWO random variables. Which property of expectation is true?
E(X + Y) = 2 * {E(X) + E(Y)}
E(X + Y) = E(X) + E(Y) – E(XY)
E(X + Y) = 2 E(X + Y)
E(X + Y) = E(X) + E(Y)
Question # 9 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
A discrete probability function f(x) is always:
Zero
One
Negative
Non negative
Question # 10 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Which statement is true for a discrete Uniform distribution?
It is absolutely symmetrical distribution
Sometimes it becomes symmetrical.
Its graphical shape of the data is like “U”.
Cannot say anything without observing the actual data.
In a discrete distribution function, F(10) can be stated as:
P (there are at most 10 successes)
P (there are at least 10 successes)
P (there are less than 10 successes) Me:
P (there are more than 10 successes)
Question # 2 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let f(xi,yj) be the joint probability function of two discrete r.v’s X and Y, where i=1,2,3,4,....,m and j=1,2,3,4......n, then marginal probability function of X is defined as:
g(xi) = Sigma f(xi,yj) i
g(xi) = Sigma f(xi,yj) j
g(xi) = Sigma Sigma f(xi,yj) j i
None of these
Question # 3 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
The second moment-ratio of a particular continuous probability distribution found to be is 3.845. What does this value tell us about the distribution
Normal distribution
Higher peak than the normal distribution
Flatter than normal distribution
Neither very peaked nor flatter
Question # 4 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let f(xi,yj) be the joint probability function of two discrete r.v’s X and Y, where i=1,2,3,4,....m and j=1,2,3,4....n, then marginal probability function of Y is defined as:
h(y) = Sigma f(xi,yj) i
h(y) = Sigma f(xi,yj) j
h(y) = Sigma Sigma f(xi,yj) i j
None of these
Question # 5 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Which of the following is not true about the standard normal distribution?
The mean of any standard normal distribution is always 0.
The standard deviation of any standard normal distribution is always 1.
The standard normal distribution always looks normal.
The standard normal distribution always keeps the raw score distribution's shape.
Question # 6 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
In the FA examination, 24candidates offered Statistics. If the probability of passing the subject be 1/3, what will be the mean of the distribution?
7
8
6
5
Question # 7 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let X and Y are two random variables. Which property of expectation is true?
E(X – Y) = E(X) – E(Y)
E(X – Y) = E(X) – E(Y) + E(XY)
E(X – Y) = E(X) + E(Y) – E(XY)
E(X – Y) = E(X) + E(Y) – 2 E(XY)
Question # 8 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Let X and Y are TWO random variables. Which property of expectation is true?
E(X + Y) = 2 * {E(X) + E(Y)}
E(X + Y) = E(X) + E(Y) – E(XY)
E(X + Y) = 2 E(X + Y)
E(X + Y) = E(X) + E(Y)
Question # 9 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
A discrete probability function f(x) is always:
Zero
One
Negative
Non negative
Question # 10 of 10 ( Start time: 01:34:02 PM ) Total Marks: 1
Which statement is true for a discrete Uniform distribution?
It is absolutely symmetrical distribution
Sometimes it becomes symmetrical.
Its graphical shape of the data is like “U”.
Cannot say anything without observing the actual data.
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