2006-09-05 07:33:05 · 4 answers · asked by mrkittypong 5 in Science & Mathematics ➔ Mathematics
A continuous distribution is a distribution without a finite number of possibilities. As answered before, height of people, weight of people, etc... are examples of continuous distributions, since there is an infinite number of possible heights and weights within a finite group of people. One property of a continuous distribution is that since there are an infinite number of possibilities:
Probability (one person in the group = a specific height) = 0.
2006-09-05 07:42:05 · answer #1 · answered by Shivers 2 · 0⤊ 0⤋
Heights and weights are good approximations of continuous distributions, but practical considerations limit how tiny you can measure such things. Most of us can not measure 1/64 of an inch, for example.
Time is also a good approximation to continuous distributions.
Nothing can really be measured infinitesimally small.
2006-09-05 08:49:25 · answer #2 · answered by fcas80 7 · 0⤊ 0⤋
Heights of People
A good example
2006-09-05 07:34:54 · answer #3 · answered by Love to help 2 · 0⤊ 0⤋
peoples heights, weights and head circumference.
Anything which can be measured as opposed to discrete distributions in which each data item falls within a category or can be counted.
2006-09-05 07:39:47 · answer #4 · answered by Anonymous · 0⤊ 0⤋