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agasfer [191]
2 years ago
14

HELP PLEASE!!! ANSWERS WITH LINKS WILL BE DELETED AND REPORTED!!!

Mathematics
2 answers:
Mariana [72]2 years ago
7 0

<em>what he/she said BAHAHAHAHAA</em>

charle [14.2K]2 years ago
3 0

Answer:

1,066cm

Step-by-step explanation:

First, subtract. 55 - 31 = 24

Then, multiply. 24 × 16 = 384

Next, multiply again. 22 × 31 = 682

Lastly, add. 384 + 682 = 1,066

Have a beautiful day!

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Nat2105 [25]
X=$12.50
y=$6.25

$12.50x+$6.25y (> and =) $1500

5 0
3 years ago
∠A and ​ ∠B ​ are vertical angles with m∠A=x and m∠B=5x−80 .<br><br> What is m∠A ?
nirvana33 [79]
20 degrees
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4 0
3 years ago
Plz solve this is for a test and I have a f soooo-
kupik [55]

The answer is 12/2, well that's what I got.

Either way this question might get deleted so yeah

4 0
3 years ago
Read 2 more answers
Consider this equation. 5/8 x = 1/2 x + 2 Generate a plan to solve for the variable. Describe the steps you'll use.
Keith_Richards [23]

Answer:

Step-by-step explanation:

5/8x = 1/2x + 2

5/8x - 1/2x = 2

46x = 2

x=16

So you want to get x by itself so you. First you get 5/8x and 1/2 and subtract 1/2 from both sides. Then find the common demonantor for both numbers. After use inverse operations to multiply both sides by the reciprocal of the fraction coefficient. Finally check the solution by substituting 16 for x in the original equation.

3 0
3 years ago
Read 2 more answers
A population of values has a normal distribution with μ = 149.8 μ=149.8 and σ = 68.2 σ=68.2. You intend to draw a random sample
Len [333]

Answer:

There is a 49.20% probability that a single randomly selected value is less than 148.3.

There is a 38.21% probability that a sample of size n = 186 n=186 is randomly selected with a mean less than 148.3.

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}

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.

In this problem, we have that:

A population of values has a normal distribution with \mu = 149.8 and σ=68.2.

Find the probability that a single randomly selected value is less than 148.3

This is the pvalue of Z when X = 148.3.

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

Z = \frac{148.3 - 149.8}{68.2}

Z = -0.02

Z = -0.02 has a pvalue of 0.4920

There is a 49.20% probability that a single randomly selected value is less than 148.3.

Find the probability that a sample of size n = 186 n=186 is randomly selected with a mean less than 148.3.

We want to find the mean of the sample, so we have to find the standard deviation of the population. That is

s = \frac{68.2}{\sqrt{186}} = 5

Now, we have to find the pvalue of Z when X = 148.3.

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

Z = \frac{148.3 - 149.8}{5}

Z = -0.3

Z = -0.3 has a pvalue of 0.3821

There is a 38.21% probability that a sample of size n = 186 n=186 is randomly selected with a mean less than 148.3.

8 0
3 years ago
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