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3 years ago

(use proportion) 60 is 20% of what number? (this might be realy easy but i cant think right now)

Mathematics

2 answers:

svlad2 [7]3 years ago

6 0

Answer:

300.

Step-by-step explanation:

Serga [27]3 years ago

6 0

The answer to ur problem is 300.because 60 multiply by 100 is 6000.so 6000 divided by 12is 300.

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A cylinder has a diameter of 10 units. Its radius is ____ units. Of its height is _______ twice its radius, its height is units.

SpyIntel [72]

Answer:

Height is 10 units

Volume is 785 cubic units

Step-by-step explanation:

We are given;

Diameter of a cylinder as 10 units

But, radius = d/2

= 5 units

Height is twice its radius,

Thus, Height = 10 units

We can get the volume;

Volume of a cylinder = pir²H

Taking pi to be 3.14

Then;

Volume = 3.14 × 5²× 10

= 785 cubic units

Thus, the volume of the cylinder is about 785 cubic units

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4 years ago

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Dominik [7]

You are driving 72 miles per hour

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3 years ago

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alisha [4.7K]

Step-by-step explanation:

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3 years ago

Ginger has 12 plastic bead containers. The containers measure 1 inch on each side. How many rectangular prisms, each with a diff

denis23 [38]

Number of different bases for each one:
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1 2 6 ---> 1 2 6, 1 6, 2, 2 6 1 --- 3 of them
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3 years ago

A filling machine fills bottles of nail polish with amounts that are normallydistributed with mean 18 mL and standard deviation

natulia [17]

Answer:

a. 0.2033 = 20.33% probability that one of the randomly selected bottles is filled with less than 17.5mL of nail polish

b. 0.0019 = 0.19% probability that the average fill of the twelve bottles is more than 17.5mL

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 $s = \frac{\sigma}{\sqrt{n}}$ .