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erastovalidia [21]
3 years ago
15

in the Image, XV⊥WZ If m∠YVZ=2x° and m∠XVY=4x+20° , what is the approximate value of x ? ( I need help as quick as possible plea

se) will wise number of points for the first person to answer smart.

Mathematics
1 answer:
OleMash [197]3 years ago
6 0

Answer:

Step-by-step explanation:

4x + 20 + 2x =90 degree (being perpendicular)

6x + 20=90

6x =90-20

6x =70

x=70/6

x=11.66666667

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2x+3-5x+7<br> Find the Term for this question please?
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Answer:

The correct answer for this question is −3x+10 and the term is 5x

7 0
3 years ago
Can someone solve this
navik [9.2K]

Answer:

482.84 cm

Step-by-step explanation:

8 0
3 years ago
to mail a cardboard box, you measure its size and mass. It is 55cm long , 25cm wide and 20 cm high. The mass of the box is 4kg.
ch4aika [34]

Answer:

Density is usually expressed as grams per cubic centimeter.

Volume = 55 * 25 * 20 = 27,500 cc

Density = Mass / Volume = 4,000 grams / 27,500 cc

= 0.1454545455 grams/cc

which is an extremely low density


Step-by-step explanation:


8 0
3 years ago
Assume that blood pressure readings are normally distributed with a mean of 115 and a standard deviation of 8. If 100 people are
Sergeu [11.5K]

Answer:

D. 0.9938.

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 establishes 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.

Mean of 115 and a standard deviation of 8.

This means that \mu = 115, \sigma = 8

100 people are randomly selected

This means that n = 100, s = \frac{8}{\sqrt{100}} = 0.8

Find the probability that their mean blood pressure will be less than 117.

This is the p-value of Z when X = 117, so:

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

By the Central Limit Theorem

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

Z = \frac{117 - 115}{0.8}

Z = 2.5

Z = 2.5 has a p-value of 0.9938, and thus, the correct answer is given by option D.

8 0
3 years ago
Solve the inequality
wariber [46]
6y+1>=10
Subtract 1 from both sides
6y>=9
Divide 6 on both sides so that the only thing remaing on the left side is the variable y.
Final Answer: y>= 1.5 or 1 1/2
6 0
3 years ago
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