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mash [69]
3 years ago
12

Adam drew two same size rectangles and divided them into the same number of equal parts. He shaded 1 3rd of one rectangle and 1

4th of the other rectangle. What is the least number of rectangles could be divided?
Mathematics
1 answer:
Brut [27]3 years ago
3 0

Answer:

  12

Step-by-step explanation:

The least common multiple (LCM) of 3 and 4 is 12. Adam would have to divide each rectangle into a minimum of 12 parts.

_____

His shading would be 4 parts (4/12 = 1/3) of one of them and 3 parts (3/12 = 1/4) of the other.

__

3 and 4 have no common factors, so their LCM is their product. 3×4 = 12.

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Please answer this question!I don’t understand it-Question number 2
Tasya [4]

Answer: The greatest depth of the Southern Ocean is 7.24

Step-by-step explanation:

So, if you add all the greatest depths up, you get 33.23

(33.23 + x)/5 = 8.094

Multiply each side by 5

33.23 + x = 40.47

Subtract 33.23 from each side

x = 7.24

You can check this by adding all the numbers up and dividing them by 5

40.47/5 = 8.094

7 0
3 years ago
Read 2 more answers
PLEASE HELP ME OUT!!!
DedPeter [7]

Answer:

20/3  or  6.67  or  6 \frac{2}{3}  (any of these are correct)

Step-by-step explanation:

Volume of triangular pyramid formula is V = 1/3 * base area * height

V = 1/3 * 5 * 4 = 20/3

20/3  or  6.67  or  6 \frac{2}{3}

4 0
2 years ago
What is 5.9 as a mixed number and a improper fraction?
denis23 [38]

Answer:

Improper Fraction- 5.9= 59/10

Mixed number-  5 9/10

Step-by-step explanation:

7 0
3 years ago
The average Act score follows a normal distribution, with a mean of 21.1 and a standard deviation of 5.1. What is the probabilit
ohaa [14]

Answer:

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question:

\mu = 21.1, \sigma = 5.1, n = 50, s = \frac{5.1}{\sqrt{50}} = 0.7212

What is the probability that the mean IQ score of 50 randomly selected people will be more than 23

This is 1 subtracted by the pvalue of Z when X = 23. So

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

By the Central Limit Theorem

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

Z = \frac{23 - 21.1}{0.7212}

Z = 2.63

Z = 2.63 has a pvalue of 0.9957

1 - 0.9957 = 0.0043

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

5 0
3 years ago
travel earns $25 a day working afther school at the supermarket. how much money will he earn in d days​
hichkok12 [17]

Answer:

Hi!

Your answer is:

25d

Since we aren't aware of how many days he is working, we substitute a variable (d) in for it!

I hope this helps!

4 0
4 years ago
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