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telo118 [61]
3 years ago
9

Fill i the blank

Mathematics
1 answer:
coldgirl [10]3 years ago
8 0

Answer:

<h2>Sorry if it's wrong</h2>

Step-by-step explanation:

Exponent properties can be used to help rewrite powers instead of writing them out in exponential form each time

<h2>hope it helps</h2>
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443112444000

Step-by-step explanation:

mark me brainliest for first answer

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What is the volume? 10 meters tall 4 meters high 5 meters long?
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The price of a climbing trip to Mount Kilimanjaro includes an initial fee plus a constant fee per meter.
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Step-by-step explanation:

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3 years ago
Help please ?<br> Write a quadratic equation in standard form with the given root(s) -5,1/2
sergejj [24]

Answer:

2x^2+9x-5

Step-by-step explanation:

(X+5)(x-1/2)

x^2-1/2x+5x-5/2

x^2+9/2x-5/2

multiply through by 2

2x^2+9x-5

5 0
3 years ago
A study of immunizations among school‑age children in California found that some areas had rates of unvaccinated school‑age chil
madam [21]

Answer:

a) P(X=0)= (20C0) (0.135)^0 (1-0.135)^{20-0} = 0.0550

b) P(X \geq 1)

And we can use the complement rule and we have this:

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

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".

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!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Solution to the problem

For this case we define the random variable X="number of children unvaccinated" and the distribution for X is given by:

X \sim Bin (n =20, p=0.135)

Part a

For this case we want this probability:

P(X=0)

Using the probability mass function we can replace and we got:

P(X=0)= (20C0) (0.135)^0 (1-0.135)^{20-0} = 0.0550

Part b

For this case we want this probability:

P(X \geq 1)

And we can use the complement rule and we have this:

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

8 0
3 years ago
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