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yuradex [85]
3 years ago
15

Simplify negative 4 over 5 ÷ 3 over negative 2.

Mathematics
2 answers:
aliina [53]3 years ago
8 0

Answer:

-4/5÷3/-2

-4/5x-2/3

8/15

8 over 15

Viefleur [7K]3 years ago
8 0
8/15
basically in order to get my questions answered i need to answer others so dont mind me lol
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The rise is 1 and the run is 7
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How does writing 3.441 in expanded form show why the same digit can have different values?
Olegator [25]
<span>Answer:
Standard Form:

3.441

<span>Expanded forms can be written
like a sentence or stacked for
readability as they are here.</span>

Expanded Numbers Form:

<span><span> 3 </span><span>+ 0.4</span><span>+ 0.04</span><span>+ 0.001</span></span>
Expanded Factors Form:

<span><span> 3 ×1 </span><span>+4 × 0.1</span><span>+4 × 0.01</span><span>+1 × 0.001</span></span>
Expanded Exponential Form:

<span><span>3 × 100</span><span>+<span>4 × 10-1</span></span><span>+<span>4 × 10-2</span></span><span>+<span>1 × 10-3</span></span></span>
Word Form:

three and
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3 0
3 years ago
Read 2 more answers
Below is the normal distribution curve for height (inches) of NBA basketball players.
VladimirAG [237]

Answer:  standard deviation = 8

This is because mu = 75 is the mean, which is at the very exact center of this distribution. One space to the right is 83, which is 83-75 = 8 units away from the center. This distance is exactly one standard deviation. We can say "83 is one standard deviation larger than 75".

Or you could note the distance from 67 to 75 is also 8, because 75-67 = 8. Each tickmark represents stepping one standard deviation in distance.

5 0
2 years ago
Question 6 The mineral content of a particular brand of supplement pills is normally distributed with mean 490 mg and variance o
AysviL [449]

Answer:

0.3085 = 30.85% probability that a randomly selected pill contains at least 500 mg of minerals

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.

Mean 490 mg and variance of 400.

This means that \mu = 490, \sigma = \sqrt{400} = 20

What is the probability that a randomly selected pill contains at least 500 mg of minerals?

This is 1 subtracted by the p-value of Z when X = 500. So

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

Z = \frac{500 - 490}{20}

Z = 0.5

Z = 0.5 has a p-value of 0.6915.

1 - 0.6915 = 0.3085

0.3085 = 30.85% probability that a randomly selected pill contains at least 500 mg of minerals

4 0
2 years ago
Solve the system of inequalities:
Flura [38]

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brainly.com/question/11934937?utm_source=android&utm_medium=share&utm_campaign=question

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