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Licemer1 [7]
3 years ago
13

5 1/4 - 2 1/3 divided by 2 1/2

Mathematics
2 answers:
cestrela7 [59]3 years ago
4 0

Answer:

1\frac{1}{6}

Step-by-step explanation:

\frac{35*2}{12*5}= \frac{70}{60}= 1\frac{1}{6}\\ 5\frac{1}{4}-  2 \frac{1}{3}= 2\frac{11}{12}

mrs_skeptik [129]3 years ago
3 0
21/4-7/3=63/12-28/12=35/12 / 5/2 = 35/12*2/5 = 35/6*1/5=35/30 = 7/6
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Answer:

100

Step-by-step explanation:

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At the concession stand medium soda cost $1.25 hot dogs cost $2.50. Natalie's group brought in pizza but is buying the drinks at
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The answer is sixteen 1.25 ÷ 20 = 16
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The volume of a cube is 27n^27 cubic units. What is the length of one side of the cube?
elena-14-01-66 [18.8K]

The volume of a cube (V) is given in terms of its side length (s) as

... V = s³

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... 27n²⁷ = s³

You may recognize that 27 = 3³, so this can be written as

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In Illinois, 9% of all drivers arrested for DUI (Driving Under the Influence) are repeat offenders; that is, they have been arre
Veseljchak [2.6K]

Answer:

a) 21.58% probability that exactly 3 people are repeat offenders

b) 97.91% probability that at least one person is a repeat offender

c) 3.69

d) 1.83

Step-by-step explanation:

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.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

9% of all drivers arrested for DUI (Driving Under the Influence) are repeat offenders

This means that p = 0.09

41 people arrested for DUI in Illinois are selected at random.

This means that n = 41

a. What is the probability that exactly 3 people are repeat offenders?

This is P(X = 3).

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

P(X = 3) = C_{41,3}.(0.09)^{3}.(0.91)^{38} = 0.2158

21.58% probability that exactly 3 people are repeat offenders

b. What is the probability that at least one person is a repeat offender?

Either none are repeat offenders, or at least one is. The sum of the probabilities of these outcomes is 1. So

P(X = 0) + P(X \geq 1) = 1

We want P(X \geq 1).

Then

P(X \geq 1) = 1 - P(X = 0)

In which

P(X = 0) = C_{41,0}.(0.09)^{0}.(0.91)^{41} = 0.0209

P(X \geq 1) = 1 - P(X = 0) = 1 - 0.0209 = 0.9791

97.91% probability that at least one person is a repeat offender

c. What is the mean number of repeat offenders?

E(X) = np = 41*0.09 = 3.69

d. What is the standard deviation of the number of repeat offenders?

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{41*0.09*0.91} = 1.83

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