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Sergeeva-Olga [200]
3 years ago
11

The present age of Joyal’s mother is three times the present age of joyal. After 5 years their ages will add up to 66. Find thei

r present age
Mathematics
1 answer:
Anastaziya [24]3 years ago
3 0

Answer:

The present age of Joyal is 14 years.

The present age of Joyal's mother is 42 years

Step-by-step explanation:

Let J denotes the age of Joyal

Let M denotes the age of Joyal's mother

The present age of Joyal’s mother is three times the present age of joyal.

Mathematically,

M = 3J

After 5 years their ages will add up to 66

Mathematically,

(M + 5) + (3J + 5) = 66

M + J + 10 = 66

M + J = 66 - 10

M + J = 56

But we know that M = 3J

3J + J = 56

4J = 56

J = 56/4

J = 14 years

So the present age of Joyal is 14 years.

M = 3J

M = 3(14)

M = 42 years

So the present age of Joyal's mother is 42 years.

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Solve the inequality.<br> 2(4+2x)&gt;5x+5<br> oxs-2<br> O X2-2<br> xs3<br> x23
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For this case we must resolve the following inequality:

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3 years ago
An airline finds that 5% of the persons making reservations on a certain flight will not show up for the flight. If the airline
Greeley [361]

Answer:

0.5438 = 54.38% probability that a seat will be available for every person holding a reservation and planning to fly

Step-by-step explanation:

We use the binomial approximation to the normal to solve this question.

Binomial probability distribution

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Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

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The standard deviation of the binomial distribution is:

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Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 105, p = 1 - 0.05 = 0.95

I use p = 0.95 because i consider a success a person showing up to the flight. 5% probability that a person misses the flight, so 100-5 = 95% probability that a person shows up to the flight.

For the approximation:

\mu = E(X) = np = 105*0.95 = 99.75

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{105*0.95*0.05} = 2.23

What is the probability that a seat will be available for every person holding a reservation and planning to fly?

Probability of 100 or less people showing up, which is the pvalue of Z when X = 100. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{100 - 99.75}{2.23}

Z = 0.11

Z = 0.11 has a pvalue of 0.5438

0.5438 = 54.38% probability that a seat will be available for every person holding a reservation and planning to fly

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Alsways do
 
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E
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do what in parenthesis first <span />
6 0
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