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jeka94
3 years ago
14

2 questions will you s end nu des and do you like he ntai

Mathematics
1 answer:
elena-s [515]3 years ago
7 0

Answer:

1. no i'm a guy unless u want to see my johnny sin thing 2. yes who dsen't

Step-by-step explanation:

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Milo cut his cake into 2 equal pieces. He ate 2 <br> pieces of cake for his birthday
andrew11 [14]

Answer:

b

Step-by-step explanation

2-2= all of the cake is gone

3 0
4 years ago
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What numbers go in the boxes?
oksian1 [2.3K]

For second one

Vertex is (-3,0)

  • Axis of symmetry=x=-3

There is only one x intercepts

  • Only one real root is -3

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3 years ago
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Find the side length of a cube when the volume is 216 ft cubed. A) 72 ft B) 6 ft C) 108 ft D) 219 ft
andrew11 [14]
If its 216 cubic inches it would be A)
5 0
3 years ago
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How many liters each of a 25% acid solution and a 50% acid solution must be used to produce 80 liters of a 40% acid solution?
alina1380 [7]

Answer:

  • 32 and 48 liters

Step-by-step explanation:

Let 25% solution is x liters, then 50% solution is (80 - x) liters.

<u>Acid content is going to be same:</u>

  • 0.25x + 0.5(80 - x) = 80*0.4
  • 0.25x - 0.5x + 40 = 32
  • 0.25x = 8
  • x = 8/0.25
  • x = 32 liters

So 32 liters of 25% solution and 80 - 32 = 48 liters of 50% solution

4 0
3 years ago
Manufacture of a certain component requires three different machining operations. Machining time for each operation has a normal
tigry1 [53]

Answer:

0.0314 = 3.14% probability that it takes at most 1 hour of machining time to produce a randomly selected component

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.

Sum of normal variables:

When normal variables are added, the mean is the sum of the means while the standard deviation is the square root of the sum of the variances.

The mean values are 20, 15, and 30 min, respectively:

This means that \mu = 20 + 15 + 30 = 65

The standard deviations are 1, 2, and 1.5 min, respectively.

This means that \sigma = \sqrt{1^2 + 2^2 + 1.5^2} = 2.6926

What is the probability that it takes at most 1 hour of machining time to produce a randomly selected component?

Mean and standard deviation are in minutes, so this is the pvalue of Z when X = 60.

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

Z = \frac{60 - 65}{2.6926}

Z = -1.86

Z = -1.86 has a pvalue of 0.0314

0.0314 = 3.14% probability that it takes at most 1 hour of machining time to produce a randomly selected component

7 0
3 years ago
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