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Hunter-Best [27]
3 years ago
6

Find m∠LKE. m∠LKJ = 150° m∠LKE = (x + 32)° m∠EKJ = (x + 94)° A) 40° B) 44° C) 46° Eliminate D) 48°

Mathematics
2 answers:
Luden [163]3 years ago
4 0

Answer:

B) 44°

Step-by-step explanation:

nata0808 [166]3 years ago
3 0

Answer:

44

Step-by-step explanation:

m∠LKE + m∠EKJ = m∠LKJ → (x + 32) + (x + 94) = 150 → x = 12

Therefore, m∠LKE = (x + 32) = 12 + 32 = 44

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kakasveta [241]

Answer:

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Step-by-step explanation:

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y-y1 = m(x-x1)

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Answer:

Step-by-step explanation:

355 53/250 = 355.212

7 0
3 years ago
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julia-pushkina [17]

Answer:

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Step-by-step explanation:

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3 years ago
Can someone help me with this question.
NISA [10]

Answer:

Option A

Step-by-step explanation:

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3 years ago
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Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation
Leto [7]

Answer:

There is a 24.51% probability that he weight of a bag will be greater than the maximum allowable weight of 50 pounds.

Step-by-step explanation:

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}

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. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.

In this problem

Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation of 3.09 pounds, so \mu = 47.88, \sigma = 3.09

What is the probability that the weight of a bag will be greater than the maximum allowable weight of 50 pounds?

That is P(X > 50)

So

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

Z = \frac{50 - 47.88}{3.09}

Z = 0.69

Z = 0.69 has a pvalue of 0.7549.

This means that P(X \leq 50) = 0.7549.

We also have that

P(X \leq 50) + P(X > 50) = 1

P(X > 50) = 1 - 0.7549 = 0.2451

There is a 24.51% probability that he weight of a bag will be greater than the maximum allowable weight of 50 pounds.

6 0
3 years ago
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