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3 years ago

PLEASE PLEASE PLEASE HELPPPPP

Mathematics

1 answer:

mario62 [17]3 years ago

5 0

Answer:

Step-by-step explanation:

B beacuse I did this before..

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Which of the following is NOT true about P-values in hypothesis testing? Choose the correct answer below. A. If the P is high

pashok25 [27]

Answer:

Step-by-step explanation:

In statistical hypothesis testing we use p values. For any test we select significance level alpha as 5% or 1% or 10%

Whenever p < alpha we reject our null hypothesis. Otherwise we accept our null hypothesis.

Hence p should be high to accept null hypothesis

Option A is incorrect

B is correct

C is wrong as p is the probability

D False

Option B is right.

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3 years ago

Write a fraction with a denominator of 9. The fraction should be less than half

uysha [10]

Answer:

The only fraction i can think of is 2/9

Step-by-step explanation:

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3 years ago

The arrivals of clients at a service firm in Santa Clara is a random variable from Poisson distribution with rate 2 arrivals per

ICE Princess25 [194]

Answer:

1.76% probability that in one hour more than 5 clients arrive

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

In which

x is the number of sucesses

e = 2.71828 is the Euler number

$\mu$ is the mean in the given time interval.

The arrivals of clients at a service firm in Santa Clara is a random variable from Poisson distribution with rate 2 arrivals per hour.

This means that $\mu = 2$

What is the probability that in one hour more than 5 clients arrive

Either 5 or less clients arrive, or more than 5 do. The sum of the probabilities of these events is decimal 1. So

$P(X \leq 5) + P(X > 5) = 1$

We want P(X > 5). So

$P(X > 5) = 1 - P(X \leq 5)$

In which

$P(X \leq 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5)$

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

$P(X = 0) = \frac{e^{-2}*2^{0}}{(0)!} = 0.1353$

$P(X = 1) = \frac{e^{-2}*2^{1}}{(1)!} = 0.2707$

$P(X = 2) = \frac{e^{-2}*2^{2}}{(2)!} = 0.2707$

$P(X = 3) = \frac{e^{-2}*2^{3}}{(3)!} = 0.1804$

$P(X = 4) = \frac{e^{-2}*2^{4}}{(4)!} = 0.0902$

$P(X = 5) = \frac{e^{-2}*2^{5}}{(5)!} = 0.0361$

$P(X \leq 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) = 0.1353 + 0.2702 + 0.2702 + 0.1804 + 0.0902 + 0.0361 = 0.9824$

$P(X > 5) = 1 - P(X \leq 5) = 1 - 0.9824 = 0.0176$

1.76% probability that in one hour more than 5 clients arrive

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Answer:

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Sunny_sXe [5.5K]

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Yes,its Rational

Step-by-step explanation:

it is nothing but 58/10

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