Probability Interview Questions

Probability interview questions

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Total Questions: 10

1. For continuous random variables, the CDF is the derivative of the PDF

A. TRUE

B. FALSE

Correct Answer is : FALSE

2. Cumulative distribution functions are used to specify the distribution of multivariate random variables.

A. TRUE

B. FALSE

Correct Answer is : TRUE

3. he expected value or _______ of a random variable is the center of its distribution.

A. mode

B. median

C. mean

D. bayesian inference

Correct Answer is : mean

4. Point out the correct statement:

A. Some cumulative distribution function F is non-decreasing and right-continuous

B. Every cumulative distribution function F is decreasing and right-continuous

C. Every cumulative distribution function F is increasing and left-continuous

D. None of the Mentioned

Correct Answer is : None of the Mentioned

5. Which of the following of a random variable is a measure of spread ?

A. variance

B. standard deviation

C. empirical mean

D. all of the Mentioned

Correct Answer is : variance

6. The square root of the variance is called the ________ deviation.

A. empirical

B. mean

C. Continuous

D. standard

Correct Answer is : standard

7. Point out the wrong statement:

A. A percentile is simply a quantile with expressed as a percent

B. There are two types of random variable

C. R cannot approximate quantiles for you for common distributions

D. None of the Mentioned

Correct Answer is : R cannot approximate quantiles for you for common distributions

8. Which of the following inequality is useful for interpreting variances ?

A. Chebyshev

B. Stautaory

C. Testory

D. All of the Mentioned

Correct Answer is : Chebyshev

9. Chebyshev’s inequality states that the probability of a “Six Sigma” event is less than :

A. 0.1

B. 0.2

C. 0.3

D. 0.03

Correct Answer is : 0.03

10. Which of the following random variables are the default model for random samples ?

A. iid

B. id

C. pmd

D. all of the Mentioned

Correct Answer is : iid

Probability interview questions