# Probability-Distribution Functions and Properties (ISS Statistics Paper I (New 2016 MCQ Pattern)): Questions 7 - 10 of 11

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## Question number: 7

» Probability » Distribution Functions and Properties

### Question

Exponential random variables are often used to model the time until occurrence of a random event where there is an assumed constant risk of the event happening over time, and so are frequently used as a simplest model, for example, in reliability analysis. Since, Number of pizza a person eats in a month is a discrete random variable so it cannot be an exponential random variable.

### Choices

Choice (4) | Response | |
---|---|---|

a. | 1 | |

b. |
| |

c. | 2 | |

d. | None of the above |

## Question number: 8

» Probability » Distribution Functions and Properties

### Question

Which of the following options could be the example of cumulative distribution function?

### Choices

Choice (4) | Response | |
---|---|---|

a. | A, B and C | |

b. | A, B and D | |

c. | C and D | |

d. | None of the above |

## Question number: 9

» Probability » Distribution Functions and Properties

### Question

Let be defined as follows:

For to be a cumulative distribution function, given is positive, following statement is correct:

### Choices

Choice (4) | Response | |
---|---|---|

a. |
| |

b. |
| |

c. | None of the above | |

d. | All of the above |

## Question number: 10

» Probability » Distribution Functions and Properties

### Question

Which of the following statement is/are incorrect regarding a cumulative distribution function ?

### Choices

Choice (4) | Response | |
---|---|---|

a. | can have only jump discontinuities. | |

b. | is continuous from the right. | |

c. | have countable number of discontinuities. | |

d. | None of the above |