Correlation Formule (Statistics Aps Jhelum)
[pic] ARMY PUBLIC SCHOOL AND COLLEGE, JHELUM CANT
Paper: Statistics Pre- Board 2012 (Objective) Marks: 18 Time: 30 min
Name: ………………………………………………………………………… Section: …………………
SECTION-A (18 Marks)
| |Select the correct answer. Cutting or over writing is not allowed. | |
| |If in a table all possible values of a random variable are given with their corresponding probabilities, then its table is called as | |
| |(a) Prob. Density function (b) Dist. function (c) Prob. Distribution (d) Continuous dist. | |
| |A variable that can assume all possible values between two points is called.. | |
| |(a) Discrete variable (b) Random variable | |
| |(c) Continuous random variable (d) discrete sample space | |
| |A formula or equation used to represent the probability distribution of a continuous random variable .. | |
| |(a) Prob. Density function (b) Dist. function (c) Prob. Distribution (d) Continuous dist. | |
| |If X is random variable and f(X) is the probability of X then the expected value of this random variable is equal to: | |
| |(a)(f(X) (b) ([X+ f(X)] (c) (f(X) + X (d) (Xf(X) | |
| |Which of the following is not possible in probability
Paper: Statistics Pre- Board 2012 (Objective) Marks: 18 Time: 30 min
Name: ………………………………………………………………………… Section: …………………
SECTION-A (18 Marks)
| |Select the correct answer. Cutting or over writing is not allowed. | |
| |If in a table all possible values of a random variable are given with their corresponding probabilities, then its table is called as | |
| |(a) Prob. Density function (b) Dist. function (c) Prob. Distribution (d) Continuous dist. | |
| |A variable that can assume all possible values between two points is called.. | |
| |(a) Discrete variable (b) Random variable | |
| |(c) Continuous random variable (d) discrete sample space | |
| |A formula or equation used to represent the probability distribution of a continuous random variable .. | |
| |(a) Prob. Density function (b) Dist. function (c) Prob. Distribution (d) Continuous dist. | |
| |If X is random variable and f(X) is the probability of X then the expected value of this random variable is equal to: | |
| |(a)(f(X) (b) ([X+ f(X)] (c) (f(X) + X (d) (Xf(X) | |
| |Which of the following is not possible in probability