Answer:
The probability the event that none of them are obese is 0.0352.
Step-by-step explanation:
<h3>Binomial distribution:</h3>
A discrete random variable X having to the set {0,1,2,3....,n} as the spectrum, is said to have binomial distribution with parameters n= the number of trial, and p= probability of successes on an individual trial , if the p.m.f of X is given by,
for x=0,1,2,...,n
=0 elsewhere.
where 0<p<1 and n an positive integer,
Given that,
The probability of the event that a child living in an urban area in the united state is obese is 20%.
n=Number of children = 15, p= 20%= 0.20.
The probability the event that none of them are obese is
=P(X=0)

=0.0352
Answer:
Log [x^2 / yz^2]
Step-by-step explanation:
2log(x) =log(x^2)
-log(y) = The minus sign means that you can divide it by first log(x^2)
-2log(z) =log(z^2), and the minus sign again means you can divide it by the first log(x^2)
So, the whole thing can be written like this:
Log(x^2) / [log(y)*log(z^2)], OR:
Log [x^2 / yz^2]
B^n+5
When multiplying exponents the numbers are added
Answer:
huh
Step-by-step explanation:
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