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IrinaK [193]
2 years ago
12

Guys does 9+10= 21 explain please​

SAT
2 answers:
sattari [20]2 years ago
7 0

Answer:

Yes.

Explanation:

Its 21 because a genius said it was.

Leona [35]2 years ago
4 0

Answer:

9 + 10 = 19

Explanation:

So uh my brother pulls this stuff on me saying 9 + 10 = 21 because if you add 9 + 10 you get 19. Then you add 2 because you have 2 numbers. So 21. I don't know why people do this, it's funny but like, why.

I hope this helped!

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S.D(X) = 6 and S.D(Y) = 8. If X and Yare independent random variables, then S.D(X-Y) is:
Mademuasel [1]

Answer:

14

Explanation:

For independent variables X and Y;

S.D(X - Y) is expanded as :

S.D(X) + S.D(Y)

If S.D(X) = 6 and S.D(Y) = 8 ; where, X and Y are independent ;

SD(X-Y) = SD(X) + SD(Y)

SD(X - Y) = 6 + 8

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What happened as a result of the Boxer Rebellion? Foreign powers were driven out of China. The US became the dominant country in
timama [110]

Answer: d

Explanation:

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Class midpoint for 59-65 is
Viefleur [7K]

the midpoint of 59 and 65 is 62

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3 years ago
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A survey showed that 34 ​% of human resource professionals are at companies that rejected job candidates because of information
Svetllana [295]

Using the binomial distribution, it is found that since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.

<h3>What is the binomial probability distribution?</h3>

It is the probability of <u>exactly x successes on n repeated trials, with p probability</u> of a success on each trial.

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)}

A measure is considered to be unusually high if it is more than 2.5 standard deviations above the mean.

In this problem, we hav ehtat:

  • 34% of companies reject candidates because of information found on their social media, hence p = 0.34.
  • 27 human resource professionals are randomly​ selected, hence n = 27.

Then, we find the threshold for unusually high values as follows:

E(X) = np = 27 x 0.34 = 9.18

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{27(0.34)(0.66)} = 2.46

T = 9.18 + 2 x 2.46 = 14.1.

Since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.

More can be learned about the binomial distribution at brainly.com/question/24863377

#SPJ1

3 0
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