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mylen [45]
1 year ago
10

In a standard normal distribution, what z value corresponds to 17% of the data between the mean and the z value?

Mathematics
1 answer:
hjlf1 year ago
4 0
You're looking for a value z such that

\mathbb P(0

Because the distribution is symmetric, the value of z in either case will be the same.

Now, because the distribution is continuous, you have that

0.17=\mathbb P(0

The mean for the standard normal distribution is 0, and because the distribution is symmetric about its mean, it follows that \mathbb P(Z.

0.17=\mathbb P(Z

You can consult a z score table to find the corresponding score for this probability. It turns out to be z\approx0.4399.
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Peanut allergies among children. About 2% of children in the United States are allergic to peanuts. Choose three children at ran
Step2247 [10]

Answer:

P(X=2|X≥1) = 0.0199973.

Step-by-step explanation:

The chance that each of the three children is allergic to peanuts is independent. Each with a chance of 2% = 0.02.

X follows a binomial distribution with

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P(X = 2|X\ge 1) = \dfrac{P(X = 2 \cap X\ge 1)}{P(X\ge 1)}.

The event X \ge 1 includes

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In other words, X = 2 implies that X\ge 1.

P(X = 2 \cap X\ge 1) = P(X = 2) = \left(\begin{array}{c}3\\2\end{array}\right ) \times 0.02^{2} \times (1-0.02) = 0.001176.

P(X\ge 1) = 1 - P(X< 1) \\\phantom{P(X\ge 1)}= 1 - P(X = 0) \\\phantom{P(X\ge 1)}= 1 -\left(\begin{array}{c}3\\0\end{array}\right ) \times (1-0.02)^{3} \\\phantom{P(X\ge 1)}= 0.058808.

P(X = 2|X\ge 1) = \dfrac{P(X = 2 \cap X\ge 1)}{P(X\ge 1)} = \dfrac{0.001176}{0.058808} = 0.0199973.

3 0
2 years ago
Factor
stellarik [79]
C on that one which is the correct answer
5 0
2 years ago
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Trisha and Malia went to the mall with their mom. Trisha spent $15.60 on a pair of sunglasses. Malia spent $29.80 more than Tris
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Answer:

$113.50

Step-by-step explanation

  1. add $15.60 + $29.80 = $45.40
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At a carnival, an individual can win a prize by choosing a rubber duck from a pond with "Win" written on the underside of the du
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Step-by-step explanation:

The probability of success = 8/(8 + 17) = 8/25 = 0.32.

Let X be the random variable denoting the number of successes (number of times the individual won a prize) in four picks.

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