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Anit [1.1K]
3 years ago
10

Jeanne has many nickels, dimes, and quarters in her wallet. She chooses 3 coins at random. What is the probability that all thre

e coins are quarters if Jeanne saw that two of the coins are quarters? What is the probability that all three coins are different types if Jeanne saw that at one coin is a dime? ; ; ; ;
Mathematics
1 answer:
Whitepunk [10]3 years ago
3 0

Answer:

Step-by-step explanation:

There isn't enough said about the distribution of coins in her wallet, but we'll just assume that the number is so large that any coin is equally likely to be drawn.

Stated another way, there are 27 possible outcomes of the three draws (3 x 3 x 3) and we'll assume each is equally likely.

PROBLEM 1:

This is a conditional probability question. We only have to consider the cases where she could have drawn 2 quarters and another coin. The possible draws are:

DQQ, NQQ, QDQ, QNQ, QQD, QQN or QQQ*.

That's 7 possible draws (with equal probability) and only 1* of them is a draw with 3 quarters.

Answer:

P(three quarters given two are quarters) = 1/7

PROBLEM 2:

Again, this is conditional probability. To help count the ways, let's instead count the ways to *not* draw any dimes. That means you have 2 choices for the first coin, 2 choices for the second coin and 2 choices for the third coin.

So 8 out of the 27 draws would *not* contain a dime. By subtracting, we can see that 19 of the draws *would* contain at least one dime.

Now think of the ways to create a draw consisting of one of each coin. We have the 3 different coins and they can be drawn in any order. That would be 3! or 6 ways.

If that isn't clear, let's list them all out:

DDD, DDN, DDQ, DND, DNN, DNQ*, DQD, DQN*, DQQ, NDD, NDN, NDQ*, NND, NQD*, QDD, QDN*, QDQ, QND*, QQD

There are 19 possible outcomes with at least one dime and exactly 6 of them have one of each type.

P(all different given at least one is a dime) = 6/19

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Answer:

A) √29 = x   B)  x = √41.8   C) √109 = x    D) x = √489.24

Step-by-step explanation:

A) 2² + 5² = x²

    4 + 25 = x²

          29 = x²

        √29 = x

B) 3.6² + x² = 7.4²

 12.96 + x² = 54.76

-12.96          - 12.96

              x² = 41.8

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C) 3² + 10² = x²

    9 + 100 = x²

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D) 7² + x² = 23.2²

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If these answers are correct, please make me Brainliest!

3 0
3 years ago
1. Consider the chance experiment of selecting an adult at random from the sample. The number of credit cards is a discrete rand
Fantom [35]

Answer:

See the explanation below.

Step-by-step explanation:

Assuming the distribution table given:

X ( Number od Credit Cards)    Relative frequency

                   0                                    0.26

                    1                                    0.17

                   2                                    0.12

                   3                                    0.10

                   4                                    0.09

                   5                                    0.06

                   6                                    0.05

                   7                                    0.05

                   8                                    0.04

                   9                                    0.03

                   10                                   0.03

We can create the histogram for this data using the following code in R:

> x<-c(0,1,2,3,4,5,6,7,8,9,10)

> freq<-c(0.26,0.17,0.12,0.10,0.09,0.06,0.05,0.05,0.04,0.03,0.03)

> x1<-c(rep(0,26),rep(1,17), rep(2,12),rep(3,10), rep(4,9),rep(5,6),rep(6,5),rep(7,5),rep(8,4),rep(9,3),rep(10,3))

> hist(x1,breaks = x,main = "Histogram", ylab = "%", xlab = "Number of credit cards")

And we got as the result the figure attached. We see a right skewed distribution with majority of the values between 0 and 3

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