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amm1812
3 years ago
15

Solve for angle x please help

Mathematics
1 answer:
Naddik [55]3 years ago
6 0

Answer:

x = 17

Step-by-step explanation:

m∠LMP = m∠LMN + m∠NMP

100 = 2x + 5 + 3x + 10

100 = 5x + 15

5x = 85

x = 17

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Answer:

Let X the random variable of interest "number of cars with side airbags among the next 4", on this case we now that:

X \sim Binom(n=4, p=0.5)

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 the distribution is given by:

P(X)= (4CX) (0.5)^x (1-0.5)^{4-x}

With X=0,1,2,3,4

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

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 "number of cars with side airbags among the next 4", on this case we now that:

X \sim Binom(n=4, p=0.5)

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 the distribution is given by:

P(X)= (4CX) (0.5)^x (1-0.5)^{4-x}

With X=0,1,2,3,4

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3 years ago
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What is 3 positive numbers give the same result when multipleied and added together?
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1+2+3=6 and 1x2x3=6 so your answer is 1,2 and 3.

8 0
3 years ago
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78-68+9=
Soloha48 [4]

Answer:

29

Step-by-step explanation:

u don't need pemdas for this one

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