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Semenov [28]
3 years ago
9

What is the measure of angle x?

Mathematics
1 answer:
frutty [35]3 years ago
3 0
Answer its m<x=83 hope it helps 
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What is the range of possible lengths for the third side of a triangle that has side lengths of 7 and 10? WRITER ន I O
stira [4]

Answer:

3 < x < 17

Step-by-step explanation:

triangle inequality theorem: the sum of any two sides must be greater than the third

7 + 10 > x;  x < 17

7 + x > 10;  x > 3

3 0
4 years ago
Dan charges a fixed amount per hour. He charges £180 for a job which takes 12 hours. Work how much he will charges for a job whi
loris [4]

Answer:

270 pounds

Step-by-step explanation:

half of 12 is 6, so 18. Then you take half of 180 and add to 180

6 0
3 years ago
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Express in the simplest radical form (NO DECIMALS).
kvv77 [185]
\frac{6 \sqrt{15} }{5}
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4 years ago
Each day a manufacturing plant receives a large shipment of drums of Chemical ZX-900. These drums are supposed to have a mean fi
nikdorinn [45]

Answer:

0.9544 = 95.44% probability that the average fill for the 100 drums is between 49.88 and 50.12 gallons.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. 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, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Suppose the mean fill for the shipment is actually 50 gallons. Standard deviation of 0.6 gallons.

This means that \mu = 50, \sigma = 0.6

Sample of 100:

This means that n = 100, s = \frac{0.6}{\sqrt{100}} = 0.06

What is the probability that the average fill for the 100 drums is between 49.88 and 50.12 gallons?

This is the pvalue of Z when X = 50.12 subtracted by the pvalue of Z when X = 49.88. So

X = 50.12

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

By the Central Limit Theorem

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

Z = \frac{50.12 - 50}{0.06}

Z = 2

Z = 2 has a pvalue of 0.9772

X = 49.88

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

Z = \frac{49.88 - 50}{0.06}

Z = -2

Z = -2 has a pvalue of 0.0228

0.9772 - 0.0228 = 0.9544

0.9544 = 95.44% probability that the average fill for the 100 drums is between 49.88 and 50.12 gallons.

7 0
3 years ago
1+1=??? HELP ME PLEASSEEE IM GOING CRAZY
Salsk061 [2.6K]

Answer: 2

Step-by-step explanation:

U take the 1 and throw another 1 and it makes 2

4 0
4 years ago
Read 2 more answers
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