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3 years ago

A book and a magazine cost 9.00. If a book costs 3$ more than a magazine , what is the cost of each

Mathematics

1 answer:

LekaFEV [45]3 years ago

7 0

The book is $6 the magazine is $3

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Inessa05 [86]

Answer: 11

Step-by-step explanation:

1 + 1 together is eleven

I’m just kidding it’s 2

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A gardener harvested 20 tomatoes from 5 plants

Step-by-step explanation:

20 ÷ 5=4

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3 years ago

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. 6. What is the y-intercept of the graph of 3x - 5y = 10? i need help asap!!

Sever21 [200]

Answer:it is -2

Step-by-step explanation:

First you need to put it into y=mx+b

Then it would be -5y=-3x+10

Divide all numbers by -5 so it would look like this

y=3/5x-2

-2 is the y intercept

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3 years ago

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mylen [45]

The last one is the right answer b/c 7 plus 0.30 for each topping, -> t

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3 years ago

Assume that when adults with smartphones are randomly selected, 51% use them in meetings or classes. If 7 adult smartphone use

Morgarella [4.7K]

Answer:

$P(X \geq 3) = 1-P(X$

If we find the individual probabilities we gotL

$P(X=0)=(7C0)(0.51)^0 (1-0.51)^{7-0}=0.0068$

$P(X=1)=(7C1)(0.51)^1 (1-0.51)^{7-1}=0.0494$

$P(X=2)=(7C2)(0.51)^2 (1-0.51)^{7-2}=0.1543$

And replacing we got:

$P(X \geq 3) = 1- [0.0068 +0.0494 +0.1543]= 0.7895$

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=7, p=0.51)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

For this case we want to find this probability:

$P(X \geq 3)$

And we can use the complement rule for this case:

$P(X \geq 3) = 1-P(X$

If we find the individual probabilities we gotL

$P(X=0)=(7C0)(0.51)^0 (1-0.51)^{7-0}=0.0068$

$P(X=1)=(7C1)(0.51)^1 (1-0.51)^{7-1}=0.0494$

$P(X=2)=(7C2)(0.51)^2 (1-0.51)^{7-2}=0.1543$

And replacing we got:

$P(X \geq 3) = 1- [0.0068 +0.0494 +0.1543]= 0.7895$

7 0

3 years ago