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Rasek [7]
3 years ago
7

How do you factor this math problem? n²+24n+144

Mathematics
2 answers:
Aloiza [94]3 years ago
8 0

The expression n^2+24n+144 expands to (n+12)(n+12)=(n+12)^2.

Hope this helps.

SIZIF [17.4K]3 years ago
3 0

Answer:

(n+12)^2

Step-by-step explanation:

use mathwa,y to help you with math

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Mark buys a fresh pair of Walmart shoes that cost $35.99 plus 5.5% tax. How much did he pay?
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$37.97

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The price of the shoes before tax is 100% of the price of the shoes.

Then the tax adds 5.5% of the price of the shoes to the price of the shoes.

He ends up paying 100% + 5.5% of the price of the shoes.

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Answer: 1. Yellow, green, black, white, blue, red. yes equally likely

2. heads, tails. yes equally likely

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Step-by-step explanation:

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3 years ago
The weights of a certain brand of candies are normally distributed with a mean weight of 0.8544 g and a standard deviation of 0.
aleksandr82 [10.1K]

Answer:

The probability is 0.508 = 50.8%.

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.

Normally distributed with a mean weight of 0.8544 g and a standard deviation of 0.0525 g.

This means that \mu = 0.8544, \sigma = 0.0525

If 1 candy is randomly​ selected, find the probability that it weighs more than 0.8535 g.

This is 1 subtracted by the pvalue of Z when X = 0.8535. So

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

Z = \frac{0.8535 - 0.8544}{0.0525}

Z = -0.02

Z = -0.02 has a pvalue of 0.492

1 - 0.492 = 0.508

The probability is 0.508 = 50.8%.

8 0
3 years ago
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