40 POINTS PLEASE HELP

1 answer:

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 = $2 \sqrt{2}$

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3 years ago

4−d<4+d, solve for d d>0 d>−4 d>−8 d>8

Harrizon [31]

4-2d<4
-2d>0
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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:

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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
Percentage increase = (5,800,000 - 5,000,000) x 100 / (5,000,000)
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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 $s = \frac{\sigma}{\sqrt{n}}$ .