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3 years ago

–0.8b2+7.4b+(5.6b–0.2b2)

Mathematics

2 answers:

e-lub [12.9K]3 years ago

6 0

Answer:

Simplify the expression.

− 1b^{2}+ 13 b

Step-by-step explanation:

aev [14]3 years ago

5 0

In this question, you would be combining like terms

Solve by combining like terms:

-0.8b²+7.4b+(5.6b-0.2b²)

This is the same as:

-0.8b² + 7.4b + 5.6b - 0.2b²

Solve:

-0.8b² + 7.4b + 5.6b - 0.2b²

-1b² + 7.4b + 5.6b

-1b² + 13b

Answer:

-1b² + 13b

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A real estate agent has 19 properties that she shows. She feels that there is a 30% chance of selling any one property during a

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Answer:

$P(X \geq 5)=1-P(X$

We can find the individual probabilities:

$P(X=0)=(19C0)(0.3)^0 (1-0.3)^{19-0}=0.00114$

$P(X=1)=(19C1)(0.3)^1 (1-0.3)^{19-1}=0.0092$

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$P(X=3)=(19C3)(0.3)^3 (1-0.3)^{19-3}=0.0869$

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And replacing we got:

$P(X \geq 5) = 1-[0.00114+0.009282+0.0358+0.0869+0.149]= 0.7178$

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:

$X \sim Binom(n=19, p=0.3)$

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:

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

And we want to find this probability:

$P(X \geq 5)$

And we can use the complement rule:

$P(X \geq 5)=1-P(X$

We can find the individual probabilities:

$P(X=0)=(19C0)(0.3)^0 (1-0.3)^{19-0}=0.00114$

$P(X=1)=(19C1)(0.3)^1 (1-0.3)^{19-1}=0.0092$

$P(X=2)=(19C2)(0.3)^2 (1-0.3)^{19-2}=0.0358$

$P(X=3)=(19C3)(0.3)^3 (1-0.3)^{19-3}=0.0869$

$P(X=4)=(19C4)(0.3)^4 (1-0.3)^{19-4}=0.1491$

And replacing we got:

$P(X \geq 5) = 1-[0.00114+0.009282+0.0358+0.0869+0.149]= 0.7178$

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