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Sauron [17]
3 years ago
14

Does anyone know what the inequality would be?

Mathematics
1 answer:
dsp733 years ago
8 0

Let x = number of batches.

So for every batch, you need 2 cups of flour, and you have 20 cups of flour. You cannot make a batch if you don't have the sufficient amount. So using our information, our inequality is 2x \leq 20 . However, this can be further simplified.

For this inequality, divide both sides by 2, and <u>your inequality is x\leq 10.</u> <u>In context, you can make up to 10 batches of cookies.</u>

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the measure of angle p is Angles P and Q are complementary. the measure of angle Q is (6x+1), and 29 degrees. what is the value
lisabon 2012 [21]

Answer:

x = 10

Step-by-step explanation:

<u>Complementary angles mean 90 degree angle.</u>

Angle P + Angle Q = 90°

Angle P ---> 29°

Angle Q --> 6x + 1

<u>Find x</u>

Angle P + Angle Q = 90°

29 + 6x + 1 = 90°

30 + 6x = 90

6x = 90-30

6x = 60

x = 60/6

x = 10

Therefore, the value of x = 10.

Angle Q = 6x + 10 --> 6(10) + 1 --> 61°

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Step-by-step explanation:

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The alkalinity level of water specimens collected from the Han River in Seoul, Korea, has a mean of 50 milligrams per liter and
Sati [7]

Answer:

a) 94.06% probability that a water specimen collected from the river has an alkalinity level exceeding 45 milligrams per liter.

b) 94.06% probability that a water specimen collected from the river has an alkalinity level below 55 milligrams per liter.

c) 50.98% probability that a water specimen collected from the river has an alkalinity level between 48 and 52 milligrams per liter.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 50, \sigma = 3.2

a. exceeding 45 milligrams per liter.

This probability is 1 subtracted by the pvalue of Z when X = 45. So

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

Z = \frac{45 - 50}{3.2}

Z = -1.56

Z = -1.56 has a pvalue of 0.0594.

1 - 0.0594 = 0.9406

94.06% probability that a water specimen collected from the river has an alkalinity level exceeding 45 milligrams per liter.

b. below 55 milligrams per liter.

This probability is the pvalue of Z when X = 55.

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

Z = \frac{55 - 50}{3.2}

Z = 1.56

Z = 1.56 has a pvalue of 0.9604.

94.06% probability that a water specimen collected from the river has an alkalinity level below 55 milligrams per liter.

c. between 48 and 52 milligrams per liter.

This is the pvalue of Z when X = 52 subtracted by the pvalue of Z when X = 48. So

X = 52

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

Z = \frac{52 - 50}{3.2}

Z = 0.69

Z = 0.69 has a pvalue of 0.7549

X = 48

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

Z = \frac{48 - 50}{3.2}

Z = -0.69

Z = -0.69 has a pvalue of 0.2451

0.7549 - 0.2451 = 0.5098

50.98% probability that a water specimen collected from the river has an alkalinity level between 48 and 52 milligrams per liter.

4 0
3 years ago
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