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Tamiku [17]
2 years ago
5

Given that x has a Poisson of u=5 what is the probability that x =2

Mathematics
1 answer:
mr_godi [17]2 years ago
8 0

probability//

Step-by-step explanation:

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Write an equation of the ellipse with foci at (0,+12) and vertices at (0,+13)
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Quadratic relations and comic sections unit test part 1

10. b. x^2/25 + y^2/169 =1

Step-by-step explanation:

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3 years ago
He graph of the function f(x) = –(x + 6)(x + 2) is shown below.
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See attachment although I gather this is not your question. I did the graph(s) for the function, 

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Simplify the following <br>(1 1/2) ^-2​
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1/2.25 or 4/9

Step-by-step explanation:

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3 years ago
5 x 10 to the 6th power is how many times larger than 5 x 10 to the 4th power. PLEASE RESPOND FAST
Alexandra [31]

Answer:

5 x 10 to the 6th power is 5,000,000

5 x 10 to the 4th power is 50,000

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Step-by-step explanation:

8 0
3 years ago
According to a recent study of 7335 young people in the US, 30% had been arrested for a crime other than a traffic violation by
victus00 [196]

Answer:

a) Statistic.

b) The population proportion is expected to be between 0.29 and 0.31 with a 94% degree of confidence.

Step-by-step explanation:

a) The proportion of 30% is a statistic, as it is a value that summarizes data only from the sample taken in the study from USA Today. Other samples may yield different proportions.

b) We can use the statistic to estimate a confidence interval for the parameter of the population.

The standard error for the proportion is calculated as:

\sigma_p=\sqrt{\dfrac{p(1-p)}{N}}=\sqrt{\dfrac{0.3\cdot 0.7}{7335}}=\sqrt{2.83\cdot10^5}= 0.00535

The margin of error is 0.01. We can use this value to determine the level of confidence that represents.

The formula for the margin of error is:

E=z\cdot \sigma_p=0.01\\\\z\cdot 0.0535=0.01\\\\z=1.87

This z-value, according to the the standard normal distribution, corresponds to a confidence interval of 94%.

The interval for this margin of error is:

p-E\leq \pi \leq p+E\\\\0.30-0.01\leq \pi \leq 0.30+0.01\\\\0.29\leq \pi \leq 0.31

Then, we can conclude that the population proportion is expected to be between 0.29 and 0.31 with a 94% degree of confidence.

3 0
3 years ago
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