MCQ Bank
In hyper geometric distribution formula, N= number of units in the population, n = number of units in the sample, and k is defined as:
- A) number of successes in sample
- B) number of failures in the sample
- C) number of successes in population
- D) number of failures in population
When X and Y are ____________ variables, then their joint probability function can be obtained by multiplying together their marginal probability functions.
- A) Normal
- B) Dependent
- C) Bivariate
- D) Independent
$$According{\text{ }}to{\text{ }}emperical{\text{ }}rule,{\text{ }}how{\text{ }}much{\text{ }}data{\text{ }}lies{\text{ }}between\,\mu - \sigma \,and\,\mu + \sigma \,?$$
- A) 95.44%
- B) 75.66%
- C) 99.73%
- D) 68.26%
When the event occur randomly over a specified interval of time, space or length; the distribution is known as:
- A) Hyper geometric distribution
- B) Poisson Process.
- C) None of the above
- D) Poisson Distribution
If total probability of joint probability distribution f(x,y) is ONE then what will be the total probability of its marginal pdf g(x)?
- A) Half of the joint pdf
- B) Less than one
- C) Anywhere between zero and one
- D) One
The marginal p.d.f. of __________ variables is obtained by integrating the other variable from the joint p.d.f.
- A) Binomial
- B) Discrete
- C) Continuous
- D) Qualitative
The marginal p.d.f. of any continuous variables is obtained by ___________ the other variable from the joint p.d.f.
- A) Dividing
- B) Multiplying
- C) Averaging
- D) Integrating
In binomial distribution, formula of calculating mean is:
- A) μ = qn
- B) μ = pq
- C) μ = np
- D) μ = p + q
Which of the following statements is true about the normal distribution?
- A) It has a U-shaped probability density function
- B) It is a discrete probability distribution
- C) It is completely determined by its mean and variance
- D) It is also known as the Poisson distribution
$${\text{In a normal distribution how much area lies between }}\mu \pm 3\sigma$$
- A) 70%
- B) 89%
- C) 68%
- D) 99.73%
If b(x, 7, 0.30), the variance of this distribution is:
- A) 1.77
- B) 1.47
- C) 1.74
- D) 1.44
The sum of the probabilities of bivariate probabilities function f(X, Y) is ONE then what will be the value of sum of its marginal probability function f(x)?
- A) Will be the average of two variables
- B) Depends on the Y variable
- C) Will be one
- D) May and may not be one
E(X + Y) = ?
- A) None
- B) E(X + Y) = E(X) E(Y).
- C) E(X + Y) = E(X) + E(Y).
- D) E(X + Y) = E(X) + E(Y).
When a coin is tossed 3 times, the probability of getting 3 or less tails is
- A) 0
- B) 1/2
- C) 1
- D) 3/5
Which property is true for the distribution function F(x)?
- A) F(x) is a non decreasing function
- B) F(x)is a non increasing function
- C) F(x) is a increasing function
- D) F(x) is a decreasing function
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?
- A) Flatter than normal distribution
- B) Normal distribution
- C) Neither very peaked nor flatter
- D) Higher peak than the normal distribution
If µ3 = 4.5 and µ2 = 3 then the skewness of the distribution will be:
- A) 1.5
- B) 2.7
- C) 0.75
- D) 3.25
When a coin is tossed 3 times, the probability of getting 3 tails is
- A) 3/8
- B) 2/8
- C) 1/2
- D) 1/8
Which statement is true for a discrete Uniform distribution?
- A) Its graphical shape of the data is like “U”.
- B) Cannot say anything without observing the actual data.
- C) Sometimes it becomes symmetrical.
- D) It is absolutely symmetrical distribution.
Which of the following statements is an example of a continuous random variable?
- A) The depth of Lake Michigan at a randomly chosen point on the surface
- B) All of the above
- C) The number of gas stations in Detroit
- D) The number of credit hours you have this semester