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erastova [34]
2 years ago
10

Suppose the probability that a Wide Receiver catches a ball thrown to him is 0.9. Let X model the number of catches he has if he

is targeted 8 times in a game. What is the mean number of balls you would expect him to catch
Mathematics
1 answer:
padilas [110]2 years ago
6 0

Using the binomial distribution, the mean number of balls you would expect him to catch is of 7.2.

<h3>What is the binomial probability distribution?</h3>

It is the probability of exactly <u>x successes on n repeated trials, with p probability</u> of a success on each trial.

The expected value of the binomial distribution is:

E(X) = np

For this problem, the parameters are:

n = 8, p = 0.9.

Hence the mean is:

E(X) = np = 8 x 0.9 = 7.2.

More can be learned about the binomial distribution at brainly.com/question/24863377

#SPJ1

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I don’t get this how do these things work please explain
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Answer:

Ok, so:

-The number of people who like tea are represented in the first column.

-The number of people who dislike tea are represented in the second column.

-The number of people who like coffee are represented in the first row.  

-The number of people who dislike coffee are represented in the second row.

This works like a multiplication chart:

People who like tea <u>and</u> coffee are represented in the top left square. People who dislike tea and coffee are represented in the box that coordinates to T' and C' (If you find T' and C' and run your fingers along the column/row until they run into each other, you'll find it.) The same is true for other combinations.

At the bottom of the first column is the total number of people who like tea. At the right-most part of the first row, is the total number of people who like coffee.

(52 people like tea, 80 people were surveyed)

I hope this helps you understand, please ask any clarifying questions you need! : )

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