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Continuous random variables

1.[3p]

Why must every single value of a continuous variable have probability zero?

Correct
The answer is: Any positive common value, repeated over enough distinct values, would push the total above one
The answer is: Any positive common value, repeated over enough distinct values, would push the total above one
The answer is: Any positive common value, repeated over enough distinct values, would push the total above one

2.[2p]

A probability density function may take values greater than 1.

Correct
The answer is: True

3.[2p]

A variable is uniform on [2,8]. What is P(3X5)? Give the answer to four decimal places.

CorrectNot quite: 0.3333

4.[2p]

A variable is uniform on [2,8]. What is its variance?

CorrectNot quite: 3

5.[2p]

What does the cumulative distribution function F(x) give?

Correct
The answer is: The probability that the variable is at most $x$
The answer is: The probability that the variable is at most $x$
The answer is: The probability that the variable is at most $x$

6.[3p]

A light bulb's lifetime is exponential with mean 1000 hours. What is the probability it lasts more than 1500 hours? Give the answer to four decimal places.

CorrectNot quite: 0.2231

7.[3p]

Carbon-14 has a half-life of 5730 years. What is the mean lifetime of an individual atom, in years, to the nearest year?

CorrectNot quite: 8267

8.[3p]

Which property makes the exponential the wrong model for something that wears out?

Correct
The answer is: Memorylessness: the chance of failing next hour never depends on age
The answer is: Memorylessness: the chance of failing next hour never depends on age
The answer is: Memorylessness: the chance of failing next hour never depends on age

9.[3p]

Match each law to the mechanism that produces it.

  • Binomial

  • Geometric

  • Poisson

  • Exponential

  • Uniform

  • successes in a fixed number of trials

  • time until the next Poisson event

  • trials until the first success

  • many trials, each very unlikely

  • no part of an interval favoured

Show the answer

Binomial: successes in a fixed number of trials Geometric: trials until the first success Poisson: many trials, each very unlikely Exponential: time until the next Poisson event Uniform: no part of an interval favoured