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icang [17]
3 years ago
6

40 POINTS PLEASE HELP

Mathematics
1 answer:
kogti [31]3 years ago
7 0
You’re gonna use the midpoint formula to find the radius: (1+7/2, 2-6/2) and get (4,-2). Now you use the distance formula to find the radius which would be √(1-4)^2 + (2-(-2)^2 and get 5 (√= square root of). Now you plug that into the circumference equation C= 2 x pi x 5 and get 31.4 units. Sorry that took me so long and hope this helps you out!!
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Please help will give branliest! Find the two missing sides and write your answer as in simplified radical form.
hjlf

Answer: v = u= 2 \sqrt{2}

Step-by-step explanation:

v= cos45 * 4= 2 \sqrt{2}

- Apply Pythagorean theorem

4^{2}= (2\sqrt{2}) ^{2} + u^{2}

We have u = 2 \sqrt{2}

5 0
3 years ago
4−d&lt;4+d, solve for d<br><br> d&gt;0<br> d&gt;−4<br> d&gt;−8<br> d&gt;8
Harrizon [31]
4-2d<4
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3 years ago
Randall’s family drove to the beach for vacation.
Brums [2.3K]

Answer: 390 miles

Step-by-step explanation:

6 0
3 years ago
The sales of a particular brand of children’s athletic shoes rose from $5,000,000 to $5,800,000. Find the percent of increase in
zzz [600]
Percentage increase = (increase) x 100 / original
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4 0
3 years ago
Read 2 more answers
A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean
Dovator [93]

Answer:

B) 0.0069

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 normally distributed samples are 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}

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 pvalue, 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.

In this question, we have that:

\mu = 8.4, \sigma = 1.8, n = 40, s = \frac{1.8}{\sqrt{40}} = 0.2846

Find the probability that their mean rebuild time exceeds 9.1 hours.

This is 1 subtracted by the pvalue of Z when X = 9.1. So

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

By the Central Limit Theorem

Z = \frac{9.1 - 8.4}{0.2846}

Z = 2.46

Z = 2.46 has a pvalue of 0.9931

1 - 0.9931 = 0.0069

So the answer is B.

6 0
3 years ago
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