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loris [4]
3 years ago
6

What is the value of (-140 ^0) ^ -2​

Mathematics
2 answers:
BigorU [14]3 years ago
7 0
The answer is 1 because anything Raised to the power of zero will always be one in one to the power of -2 will be one
N76 [4]3 years ago
3 0

Answer:

1

Step-by-step explanation:

(-140 ^0) ^ -2\\1^-2\\1\\ (<em>Any number whose exponent in 0, becomes 1)</em>

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How do you find the percent of increase from 12 to 18?
olga nikolaevna [1]
Let's get the data out of the problem:

Nv = 18

Ov = 12

Now, we can apply in this equation that relates the new and the old values:

i = Nv / Ov

i = 18 / 12

i = 1.5

Now, we just consider what has passed from 1, and this is 0.5, converting to percentage it is:

p = 0.5 . 100

p = 50%

The increase was 50%.

Hope it helps.
4 0
2 years ago
What is the value of x
Pachacha [2.7K]

It depends on your Divisor, Product, or Value. There is just not a gaven value for X or X=0

4 0
3 years ago
Mikel asked her father how old he is gues the father said I you add the digits that make my age this year you'll get a number th
Alexxx [7]

Answer:

For the sum of the digits of Michelle’s father to drop to 1/3 of its’ former value, the second digit must go from 9 to 0, in one year.

Thus, if he is 39 this year, the sum of the digits of his age will be 12. Next year, when the sum of the digits would be 4+0, or 4, then the digits of his age would be 1/3rd of their former value.

Therefore, he is 39, and will be 40 next year

Step-by-step explanation:

7 0
2 years ago
Weights of American adults are normally distributed with a mean of 180 pounds and a standard deviation of 8 pounds. What is the
ahrayia [7]

Answer:

15.87% probability that a randomly selected individual will be between 185 and 190 pounds

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 = 180, \sigma = 8

What is the probability that a randomly selected individual will be between 185 and 190 pounds?

This probability is the pvalue of Z when X = 190 subtracted by the pvalue of Z when X = 185. So

X = 190

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

Z = \frac{190 - 180}{8}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

X = 185

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

Z = \frac{185 - 180}{8}

Z = 0.63

Z = 0.63 has a pvalue of 0.7357

0.8944 - 0.7357 = 0.1587

15.87% probability that a randomly selected individual will be between 185 and 190 pounds

3 0
2 years ago
Which ratio is equivalent to the rate<br> 8 meters<br> 1 second<br> ?
KIM [24]
A unit rate where one is in the Denometer, so you would want to divide the bottom by 10.
5 0
2 years ago
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