Continuous random variables
1.[3p] Why must every single value of a continuous variable have probability zero?
Why must every single value of a continuous variable have probability zero?
2.[2p] A probability density function may take values greater than .
A probability density function may take values greater than .
3.[2p] A variable is uniform on . What is ? Give the answer to four decimal places.
A variable is uniform on . What is ? Give the answer to four decimal places.
4.[2p] A variable is uniform on . What is its variance?
A variable is uniform on . What is its variance?
5.[2p] What does the cumulative distribution function give?
What does the cumulative distribution function give?
6.[3p] A light bulb's lifetime is exponential with mean hours. What is the probability it lasts more than hours? Give the answer to four decimal places.
A light bulb's lifetime is exponential with mean hours. What is the probability it lasts more than hours? Give the answer to four decimal places.
7.[3p] Carbon-14 has a half-life of years. What is the mean lifetime of an individual atom, in years, to the nearest year?
Carbon-14 has a half-life of years. What is the mean lifetime of an individual atom, in years, to the nearest year?
8.[3p] Which property makes the exponential the wrong model for something that wears out?
Which property makes the exponential the wrong model for something that wears out?
9.[3p] Match each law to the mechanism that produces it.
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