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ElenaW [278]
3 years ago
15

What is the to -x<-6 I mean like is there even an answer!!!!!

Mathematics
1 answer:
mixer [17]3 years ago
6 0

Answer:

Step-by-step explanation:

I believe you have to make the -x to a positive by dividing because there is still an invisible one there, like:

-x/-1 < -6/-1

x > 6 .   and switch the sign since you're dividing by a negative : )

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Answer:idk

Step-by-step explanation: snnd

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3 years ago
What is the product?
Ann [662]

Answer:

it shows that it's B

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3 years ago
An airplane has 100 seats for passengers. Assume that the probability that a person holding a ticket appears for the flight is 0
zmey [24]

Answer:

96.33% probability that everyone who appears for the flight will get a seat

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

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

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)}

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:

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.

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 = 0.9

So

\mu = E(X) = np = 105*0.9 = 94.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{105*0.9*0.1} = 3.07

What is the probability that everyone who appears for the flight will get a seat

100 or less people appearing to the flight, which is the pvalue of Z when X = 100. So

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

Z = \frac{100 - 94.5}{3.07}

Z = 1.79

Z = 1.79 has a pvalue of 0.9633

96.33% probability that everyone who appears for the flight will get a seat

7 0
3 years ago
Please help
bonufazy [111]

Answer:

1. 50 is 20% of 250

Step-by-step explanation:

In order to find any of these, use the equation.

Number/Out of = %

Then plug in the values

50/x = .20

Then solve by cross multiplying

50 = .20x

250 = x

4 0
4 years ago
Tahari is shopping for a new car. She is making her decision based on brand, color, and style. She can choose from 4 brands, 5 c
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If she chose the color she would have 12 options left.
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3 years ago
Read 3 more answers
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