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11111nata11111 [884]
3 years ago
15

A beverage is made by mixing three parts of water with five parts of fruit juice how many parts of water are mixed with one part

of fruit juice?
Mathematics
1 answer:
Lubov Fominskaja [6]3 years ago
4 0

Answer:

3/5 part water.

Step-by-step explanation:

If the ratio for water to fruit juice is 3:5, then if you divide the fruit juice by 5 to get one you must do the same on the other side, giving you 3/5(which cant be simplified further), which makes 3/5:1.

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The area of the shaded region​
sweet-ann [11.9K]

Answer:

37.7

Step-by-step explanation:

Large circle = \pir² = \pi5² = 78.54

Medium circle = \pi3²= 28.27

Small circle = \pi2²= 12.57

78.54-28.27-12.57 = 37.7

8 0
3 years ago
I don’t understand this plz help me out
kupik [55]
If your looking looking for the y-intercept its y=-3



I don't really understand what you are asking though....
3 0
3 years ago
Read 2 more answers
Trent wants to buy a ham sandwich the original price is six how much will Trent pay if he buys during the sale
Ipatiy [6.2K]
It depends on what happens to the price of the item during the sale which is not stated in your problem. So if it cost 6 dollars and goes on sale it should be 6 dollars.
6 0
3 years ago
Thank you so much have a great day you guys are the best whoever helped me!
Nezavi [6.7K]

Answer:

Congrats!

Step-by-step explanation:

3 0
2 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}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean 18 mL and standard deviation 0.6 mL.

This means that \mu = 18, \sigma = 0.6

a. What is the probability that one of the randomly selected bottles is filled with less than 17.5mL of nail polish?

This is the p-value of Z when X = 17.5. So

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

Z = \frac{17.5 - 18}{0.6}

Z = -0.83

Z = -0.83 has a p-value of 0.2033

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

b. What is the probability that the average fill of the twelve bottles is more than 17.5mL?

Twelve bottles, so now n = 12, s = \frac{0.6}{\sqrt{12}}

The probability is:

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

By the Central Limit Theorem

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

Z = \frac{17.5 - 18}{\frac{0.6}{\sqrt{12}}}

Z = -2.89

Z = -2.89 has a p-value of 0.0019

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

4 0
3 years ago
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