Que.Which of the following condition should be satisfied by function for pmf?
|
| a. The sum of all of the possible values is 1 |
| b. The sum of all of the possible values is 0 |
| c. The sum of all of the possible values is infinite |
| d. All of the mentioned |
The sum of all of the possible values is 1
Que.Which of the following function is associated with a continuous random variable?
|
| a. pdf |
| b. pmv |
| c. pmf |
| d. all of the mentioned |
Que.Statistical inference is the process of drawing formal conclusions from data.
|
| a. True |
| b. False |
| c. May be True or False |
| d. Can’t say |
Que.The expected value or _______ of a random variable is the center of its distribution.
|
| a. mode |
| b. median |
| c. mean |
| d. bayesian inference |
Que.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 |
Que.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 |
Que.The square root of the variance is called the ________ deviation.
|
| a. empirical |
| b. mean |
| c. continuous |
| d. standard |
Que.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 |
R cannot approximate quantiles for you for common distributions
Que.Which of the following inequality is useful for interpreting variances?
|
| a. Chebyshev |
| b. Stautaory |
| c. Testory |
| d. All of the mentioned |
Que.For continuous random variables, the CDF is the derivative of the PDF.
|
| a. True |
| b. False |
| c. May be True or False |
| d. Can’t say |