Question

Which of the following are valid probability distributions for a discrete random variable?

Check all that apply.

Answer 1

a 1/6 1/5 1/4 1/3
b 1/12 1/12 1/12 1/12 1/6 1/12 1/12 1/12 1/12

Answer 2

yawn

Answer 3

those make no sense @jakashaka123

Answer 4

c 1/5 1/5 1/5 1/5 1/5
d 1/2 1/3 1/4 1/5 137/60

Answer 5

idk thoes are the answers that i have

Answer 6

abcd????????????????????/?//?/?????????????????????????????????????????????????

Answer 7

A random variable, usually written X, is a variable whose possible values are numerical outcomes of a random phenomenon. There are two types of random variables, discrete and continuous.

Answer 8

okay

Answer 9

jaka smart

Answer 10

A discrete random variable is one which may take on only a countable number of distinct values such as 0,1,2,3,4,........ Discrete random variables are usually (but not necessarily) counts. If a random variable can take only a finite number of distinct values, then it must be discrete. Examples of discrete random variables include the number of children in a family, the Friday night attendance at a cinema, the number of patients in a doctor's surgery, the number of defective light bulbs in a box of ten.

The probability distribution of a discrete random variable is a list of probabilities associated with each of its possible values. It is also sometimes called the probability function or the probability mass function.

(Definitions taken from Valerie J. Easton and John H. McColl's Statistics Glossary v1.1)

Suppose a random variable X may take k different values, with the probability that X = xi defined to be P(X = xi) = pi. The probabilities pi must satisfy the following:

1: 0 < pi < 1 for each i
2: p1 + p2 + ... + pk = 1.

Answer 11

huf puff

Answer 12

you peeps killin me

Answer 13

we luv ya

Answer 14

All random variables (discrete and continuous) have a cumulative distribution function. It is a function giving the probability that the random variable X is less than or equal to x, for every value x. For a discrete random variable, the cumulative distribution function is found by summing up the probabilities.

Answer 15

in a friendly way....ya kno bc ur a dude

Answer 16

love you people to

Answer 17

lol:)