Explain defined and undefined terms in geometry

Let z be a bernoulli random variable with parameter p and w an independent binomial random variable with parameters n and p. Wha

Maurinko [17]

Answer:

It is known that if Z is a binomial random variable with parameters n and p and in addition, W is a binomial random variable, independent of X, with parameters m and p, it is assumed that the variable R = Z + W, is a binomial random variable with parameters (n + m and p. In this case, m = 1. Therefore, R is a binomial random variable with parameters (n + 1) and p.

Step-by-step explanation:

4 0

3 years ago

Write each fraction as a decimal use bar notation if necessary -6/7

Vladimir [108]

Ask google.com for the answer

4 0

3 years ago

HELP ME WILL MARK BRIANLEST Molly and Maddie are clothes shopping. Molly has $100.00 and a coupon for a $5.00 discount at a clot

Sever21 [200]

Molly's equation

15x + 10 = 100

-10 -10

15x=90

/15 /15

x=6

Maddie's equation

15x - 10 = 100

+10 +10

15x=110

/15 /15

x=7 1/3

MADDIE IS RIGHT

this is because she said 7 ans=d you cannot buy 1/3 of a shirt.

give the guy under me the 5 stare and a thanks this is his answer

8 0

4 years ago

Read 2 more answers

What does A equal to

ruslelena [56]

Since you know that PQ=RQ, you have an equilateral triangle. This makes things very simple.
Angle R should be the same as angle P.
A triangle is equal to 180 degrees.
Add angles P and R. Subtract 180 from the answer you got. That will give you 2a. a divided by 2 will give you a.

Or, since there are two right triangles, you can add 47 and 90. Subtract 180 from that and you will get a.

5 0

3 years ago

A shipment of 50 precision parts including 4 that are defective is sent to an assembly plant. The quality control division selec

natali 33 [55]

Answer:

0.3968 = 39.68% probability this shipment passes inspection.

Step-by-step explanation:

The parts are chosen without replacement, which means that the hypergeometric distribution is used to solve this question.

Hypergeometric distribution:

The probability of x successes is given by the following formula:

$P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}$