C1100__18[1] - 1 Continuous random variables f(x) x 2...

Info iconThis preview shows pages 1–6. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: 1 Continuous random variables f(x) x 2 Continuous random variables A discrete random variable has values that are isolated numbers, e.g.: Number of boys in a family number of heads in 10 flips of a coin A continuous random variable has values over an entire interval, e.g.: Height of people All values in the interval [2.2,8.2] 3 Difference between discrete and continuous rvs In the random numbers table, every digit 0,1, ,9 has the same probability of 0.1 to be selected. S={0,1,2,3,4,5,6,7,8,9} Probability histogram: 0 1 2 3 4 5 6 7 8 9 4 Difference between discrete and continuous rvs Now suppose that we want to choose at random a number in [0,1]. You can visualize such a random number by thinking of a spinner that turns freely on its axis and slowly comes to stop: In this case, the sample space is an interval : S={all numbers x such that 0x1} 5 Difference between discrete and continuous rvs S={all numbers x such that 0x1} We want all possible outcomes to be equally likely ....
View Full Document

Page1 / 21

C1100__18[1] - 1 Continuous random variables f(x) x 2...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online