Binomial probability distributions depend on the number of trials n of a binomial experiment and the probability of success p on each trial. Under what conditions is it appropriate to use a normal approximation to the binomial? (Select all that apply.)
np > 5 p < 0.5 p > 0.5 nq > 5 np > 10 nq > 10

Respuesta :

Answer:

a) np > 5

d) nq > 5

Step-by-step explanation:

Binomial probability distributions depend on the number of trials n of a binomial experiment and the probability of success p on each trial.

A binomial distribution can be approximated with the help of normal distribution.

A binomial distribution has parameters:

[tex]X \sim B(n,p)[/tex]

where n is the number of independent trials and p is the probability of success.

If p is the probability of success, then we define probability of failure as:

[tex]q = 1-p[/tex]

A normal distribution can be used to approximate the binomial distribution if

[tex]np > 5\\nq = n(1-p) > 5[/tex]

Thus, the correct answer is

a) np > 5

d) nq > 5

Using concept of the binomial distribution, it is found that the correct options are:

np > 5

nq > 5

The binomial distribution gives the probability of x successes on n repeated trials, with p probability of a success on each trial.

It can be approximated to the normal distribution it there are more than 10 successes and more than 10 failures, that is:

np > 5

nq > 5

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