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boyakko [2]
4 years ago
10

4 to the 3rd power - 3 to the 3rd power=

Mathematics
2 answers:
mylen [45]4 years ago
5 0

Answer:

37

Step-by-step explanation:

agasfer [191]4 years ago
3 0

Hey!

----------------------------------------------

Solution:

= 4³ - 3³

= 64 - 27

= 37

----------------------------------------------

Answer:

37

----------------------------------------------

Hope This Helped! Good Luck!

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Which is a simplified form of the expression 5x – 12 + 18x – 4?
Veseljchak [2.6K]
<h3>♫ - - - - - - - - - - - - - - - ~Hello There!~ - - - - - - - - - - - - - - - ♫</h3>

➷ You may have forgotten to add the options

However, you can collect like terms

In other words, collect the 'x' values and collect the numbers

5x + 18x = 23x

-12 - 4 = -16

Thus, your answer would be 23x - 16.

Any further questions, let me know.

<h3><u>✽</u></h3>

➶ Hope This Helps You!

➶ Good Luck (:

➶ Have A Great Day ^-^

↬ ʜᴀɴɴᴀʜ ♡

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4 years ago
Read 2 more answers
Type the correct answer in each box. Use numerals instead of words.
brilliants [131]

Answer:

100 newtons, 20 newtons per second

Step-by-step explanation:

7 0
3 years ago
Austin burns 120 calories per 30 minutes of weight training. How many calories does he burn in 90 minutes?
nadezda [96]

Answer:

360 calories

Step-by-step explanation:

360

6 0
3 years ago
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Assume the readings on thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C. Find the pro
lisov135 [29]

Answer:

0.0326 = 3.26% probability that a randomly selected thermometer reads between −2.23 and −1.69.

The sketch is drawn at the end.

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 of 0°C and a standard deviation of 1.00°C.

This means that \mu = 0, \sigma = 1

Find the probability that a randomly selected thermometer reads between −2.23 and −1.69

This is the p-value of Z when X = -1.69 subtracted by the p-value of Z when X = -2.23.

X = -1.69

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

Z = \frac{-1.69 - 0}{1}

Z = -1.69

Z = -1.69 has a p-value of 0.0455

X = -2.23

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

Z = \frac{-2.23 - 0}{1}

Z = -2.23

Z = -2.23 has a p-value of 0.0129

0.0455 - 0.0129 = 0.0326

0.0326 = 3.26% probability that a randomly selected thermometer reads between −2.23 and −1.69.

Sketch:

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