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zheka24 [161]
2 years ago
13

Winona asked randomly selected students in

Mathematics
1 answer:
MA_775_DIABLO [31]2 years ago
3 0
  • Sample space=S=240
  • N=75
  • Y=165

\\ \sf\longmapsto P(N)=\dfrac{75}{240}=\dfrac{25}{48}\approx 2

\\ \sf\longmapsto P(Y)=\dfrac{165}{240}

\\ \sf\longmapsto P(Y)=\dfrac{33}{48}

\\ \sf\longmapsto P(Y)=\dfrac{11}{16}

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​<br> Solve System Of Equation <br> −4x+11y=15<br> x=2y<br> ​<br> x=<br> y=
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Answer:

y=5 x=110

Step-by-step explanation:

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3 years ago
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The sum of three numbers is 105. The third number is 2 times the first. The first number is 5 less than the second. What are the
Radda [10]

Answer:

The second number = 30

The first number = 25

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Step-by-step explanation:

Let

The second number = x

The first number = x - 5

The third number = 2(x - 5)

Total = 105

105 = x + (x - 5) + 2(x - 5)

105 = x + x - 5 + 2x - 10

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3 years ago
4/5 equivalent fraction?
Grace [21]
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The volume of
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4 years ago
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Samir is an expert marksman. When he takes aim at a particular target on the shooting range, there is a 0.950.950, point, 95 pro
Vinvika [58]

Answer:

40.1% probability that he will miss at least one of them

Step-by-step explanation:

For each target, there are only two possible outcomes. Either he hits it, or he does not. The probability of hitting a target is independent of other targets. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

0.95 probaiblity of hitting a target

This means that p = 0.95

10 targets

This means that n = 10

What is the probability that he will miss at least one of them?

Either he hits all the targets, or he misses at least one of them. The sum of the probabilities of these events is decimal 1. So

P(X = 10) + P(X < 10) = 1

We want P(X < 10). So

P(X < 10) = 1 - P(X = 10)

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P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 10) = C_{10,10}.(0.95)^{10}.(0.05)^{0} = 0.5987

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40.1% probability that he will miss at least one of them

7 0
3 years ago
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