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a_sh-v [17]
3 years ago
11

WHATS THE ANGLE MEASUREMENTS ?? & TELL HOW YOU GOT IT !!

Mathematics
2 answers:
sveticcg [70]3 years ago
7 0

Answer:

ok ok i got u i thank lets go

1.78 or 5,600

Step-by-step explanation:

7x - 2= 14 m

5x - 10 = 100x

14x x 4x =56

now its two way it could be the 1st is

100 / 56 = 1.78  

or 100 x 56 = 5,600

one of the two sorry o couldn't give u the full answer so one of the two

KATRIN_1 [288]3 years ago
6 0

Answer:

SEE THE IMAGE ABOVE FOR ANSWER.

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Solve for the indicated variable. Include all of your work in your answer. Submit your solution.
Degger [83]

Answer:

r = \frac{C}{27}

Step-by-step explanation:

Given

C = 27r ( Isolate r by dividing both sides by 27 )

\frac{C}{27} = r

3 0
3 years ago
I need help with this 2 questions, please. ):
olga55 [171]

Answer:

about 6

1 is 90

2 is 35 same with 3

4 is 28

5 is 62

Step-by-step explanation:

8 0
3 years ago
Is it right? ... i will give brainliest
NeTakaya

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Step-by-step explanation:

5 0
3 years ago
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An HP laser printer is advertised to print text documents at a speed of 18 ppm (pages per minute). The manufacturer tells you th
anastassius [24]

Answer:

0.288

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 = 17.48, \sigma = 3.25, n = 10, s = \frac{3.25}{\sqrt{10}} = 1.027740

Find the probability that the mean printing speed of the sample is greater than 18.06 ppm.

This is 1 subtracted by the pvalue of Z when X = 18.06. So

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

By the Central Limit Theorem

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

Z = \frac{18.06 - 17.48}{1.027740}

Z = 0.56

Z = 0.56 has a pvalue of 0.712

1 - 0.712 = 0.288

The answer is 0.288

7 0
3 years ago
I need an answer and showing work FASTTTT
Galina-37 [17]

Answer:

Step-by-step explanation:

Answer

2600

Explanation

Based on the given conditions, formulate:  2000+30,000x2%

Calculate the product or quotient:2000+600

Calculate the sum or difference:2600

get the result:2600

Answer: 2600

Hope this helps from Armax

6 0
3 years ago
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