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Romashka [77]
3 years ago
5

2. y = x + 19:(-9.4) what is the equation?

Mathematics
1 answer:
DanielleElmas [232]3 years ago
8 0

Answer:

xy = x + 19:(-9.4) yhkghuryrurguyruutiufu ir uughuh

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The tile showen are placed in a bag you randomly select one of the tiles return it to the bag and randomly selecting Lo tile wha
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15

Step-by-step explanation:

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A box contains eight cards labeled P,Q,R,S,T,U,V, and W. One card will be randomly chosen.
nikklg [1K]

Answer:

3/8

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3 years ago
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a) A large hotel in Miami has 900 rooms (all rooms are equivalent). During Christmas, the hotel is usually fully booked. However
Olegator [25]

Answer:

14.69% probability that this happens

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

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

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

1000 people were given assurance of a room.

This means that n = 1000

Let us assume that each customer cancels their reservation with a probability of 0.1.

So 0.9 probability that they still keep their booking, which means that p = 0.9

Probability more than 900 still keeps their booking:

n = 1000, p = 0.9

So

\mu = 0.9, s = \sqrt{\frac{0.9*0.1}{1000}} = 0.0095

901/1000 = 0.91

So this is 1 subtracted by the pvalue of Z when X = 0.91.

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

By the Central Limit Theorem

Z = \frac{0.91 - 0.9}{0.0095}

Z = 1.05

Z = 1.05 has a pvalue of 0.8531

1 - 0.8531 = 0.1469

14.69% probability that this happens

3 0
3 years ago
What is 5 with a exponent of 2 in standard form?
kati45 [8]
Then answer would be 25 because you right it out 5x5 and that is 25 or 5^25
6 0
3 years ago
What would be the steps you would<br> take to solve the following problem?<br> 5-2x=13
Bond [772]

Answer:

5-2*x-(13)=0

Step-by-step explanation:

Pull out like factors :

 -8 - 2x  =   -2 • (x + 4)

Solve :    -2   =  0

Solve  :    x+4 = 0

Subtract  4  from both sides of the equation :  

                     x = -4

plz mark me brainiest

6 0
3 years ago
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