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Advocard [28]
3 years ago
15

a coach formed teams of 8 from all the players in a soccer league there are 14 teams how many players are in the league

Mathematics
1 answer:
son4ous [18]3 years ago
8 0

Answer: 8x14= 112. there are 112 players in total

Step-by-step explanation:

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3. The triangles below are drawn on 1-cm dot paper. Find the per<br> 1
solniwko [45]
Answer:
2^2+2^2=8
Square root of 8= 2.82
2+2+2.828=6.83
A.6.83
2^2+3^2=13
Square root of 13=3.6
2+3+3.6=8.6
B. 8.6
3 0
3 years ago
A brewery has a beer dispensing machine that dispenses beer into the company's 12 ounce bottles. The distribution for the amount
-Dominant- [34]

Answer:

The company should use a mean of 12.37 ounces.

Step-by-step explanation:

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.

The distribution for the amount of beer dispensed by the machine follows a normal distribution with a standard deviation of 0.17 ounce.

This means that \sigma = 0.17

The company can control the mean amount of beer dispensed by the machine. What value of the mean should the company use if it wants to guarantee that 98.5% of the bottles contain at least 12 ounces (the amount on the label)?

This is \mu, considering that when X = 12, Z has a p-value of 1 - 0.985 = 0.015, so when X = 12, Z = -2.17.

Then

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

-2.17 = \frac{12 - \mu}{0.17}

12 - \mu = -2.17*0.17

\mu = 12 + 2.17*0.17

\mu = 12.37

The company should use a mean of 12.37 ounces.

7 0
3 years ago
I need help with solving a system of equations using elimination
Nataliya [291]

Answer:

do it your self.

Step-by-step explanation:

7 0
3 years ago
The lengths of human pregnancies are normally distributed with a mean of 268 day &amp; a standard deviation of 15 days. What is
Andrews [41]

The probability that a pregnancy last at least 300 days is 0.01659

Step-by-step explanation:

The formula of z-score is z = (x - μ)/σ, where

  • μ is the mean
  • σ is the standard deviation
  • x is the score

The lengths of human pregnancies are normally distributed with a

mean of 268 day & a standard deviation of 15 days

∴ μ = 268 days

∴ σ = 15 days

We need to find the probability that a pregnancy last at least 300 days

∵ At least means greater than or equal

∴ x ≥ 300 days

For probability that x ≥ 300 find the z-score and use the normal

distribution table to find the area to the right of the z-score

∵ z = (x - μ)/σ

∴ z=\frac{300-268}{15}

∴ <em>z</em> = 2.13

By using the normal distribution table of z-score

∵ The area (to the left of z-score) corresponding to z-score of 2.13

   is 0.98341

∵ We need the area to the right of z-score

∴ P(x ≥ 300) = 1 - 0.98341

∴ P(x ≥ 300) = 0.01659

The probability that a pregnancy last at least 300 days is 0.01659

Learn more:

You can learn more about probability in brainly.com/question/9178881

#LearnwithBrainly

8 0
3 years ago
Yolanda bought 12 pounds of rice for $5 . How many pounds of rice did she get per dollar?
defon
<h3>Answer:  2.4 pounds per dollar</h3>

Explanation:

We can set up the ratio

12 pounds : 5 dollars

Then divide both parts of that ratio by 5 so that the "5 dollars" becomes "1 dollar"

  • 12/5 = 2.4
  • 5/5 = 1

The ratio 12 pounds : 5 dollars is equivalent to 2.4 pounds : 1 dollar

4 0
3 years ago
Read 2 more answers
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