(A) expected value
(B) critical value
(C) variance
(D) standard deviation
The answer is: (A) expected value
Explanation
Expectation (or expected value) is the arithmetic mean of all possible outcomes of a random variable.
Statistics MCQs quiz test questions with answers for FPSC CSS NTS PPSC SPSC KPPSC test preparation, including questions from statistics past papers. Basic statistics and probability MCQ solved questions and answers.
(A) expected value
(B) critical value
(C) variance
(D) standard deviation
The answer is: (A) expected value
Explanation
Expectation (or expected value) is the arithmetic mean of all possible outcomes of a random variable.
(A) –1
(B) –0.75
(C) 0
(D) 1.2
The answer is: (D) 1.2
The value of a correlation coefficient is always between –1 and 1, including –1 and 1.
(A) E[X2]
(B) E[X2] – E[X]
(C) E[X2] + E[X]2
(D) E[X2] – E[X]2
The answer is: (D) E[X2] – E[X]2
Explanation
By definition, Var (X) = E[X2] – E[X]2
(A) E[X/Y] + E[Y]
(B) E[Y/X] + E[X]
(C) Var(X) + Var(Y) + 2 Cov(X, Y)
(D) Var(X) + Var(Y) – 2 Cov(X, Y)
The answer is: (C) Var(X) + Var(Y) + 2 Cov(X, Y)
Explanation
By definition, Var (X + Y) = Var(X) + Var(Y) + 2 Cov(X, Y)
(A) 15.5
(B) 17.5
(C) 5.5
(D) 7.5
The answer is: (B) 17.5
Solution
First calculate the mean
Now calculate the variance,
(A) 64.5%
(B) 68.5%
(C) 72.5%
(D) 76.5%
The answer is: (C) 72.5%
Solution
By using formula for calculating weighted average, we have
(A) Normal
(B) Uniform
(C) Poisson
(D) Binomial
The answer is: (A) Normal
(A) 8%
(B) 9%
(C) 10%
(D) 11%
The answer is: (B) 9%
Solution
Data Set-I: 4, 3, 5, 7, 6
Data Set-II: 2, 10, 1, 9, 3
(A) mean and variance are equal
(B) mean and variance are not equal
(C) mean is equal but variance is not
(D) variance is equal but mean is not
The answer is: (C) mean is equal but variance is not
Here, Mean(Data1)=5, Mean(Data2)=5. But, Var(Data1)=2.5, Var(Data2)=17.5
(A) expected value
(B) variance – mean
(C) normal distribution
(D) uniform distribution
The answer is: (A) expected value
If an experiment is repeated independently for a large number of times, it converges to a fixed number/ expected value/ expected distribution.