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3 years ago

ABCDE and FGHJE are similar pentagons. If the perimeter of FGHJE is 7.3, what is the perimeter of ABCDE?

Mathematics

2 answers:

Aleonysh [2.5K]3 years ago

4 0

Answer:

Step-by-step explanation:

the answer is 14. 6 units

monitta3 years ago

3 0

Polygons are said to be equal if the ratio of their corresponding sides and corresponding angles are equal. If the lengths are proportional, then it must be that the perimeter as well are proportional. Therefore, the correct answer is the second option. The perimeter of <span>ABCDE 14.6 units.</span>

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If U = the set of odd natural numbers and B = {13, 15, 17, 19, 21, 23, . . .}, find B′.

Yuki888 [10]

Answer:

{1,3,5,7,9,11}

Step-by-step explanation:

B' stands for the complement of B.

B' means set elements in the universe that aren't in B.

Here is the universe:

U={1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,...}

(The dots mean it continues with that pattern forever and ever.)

And the elements we taking out:

B={13,15,17,19,21,23,...}

So we taking out the odd numbers from U that are odd and greater than or equal to 13. (The dots mean it continues with that pattern forever and ever.)

So B' is the set of natural odd numbers that are less than 13:

{1,3,5,7,9,11}

8 0

3 years ago

Read 2 more answers

Use partial quotient 28 divided by 514

Ann [662]

The result is 18 r 10

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3 years ago

You are challenged to a lucky draw game. If you draw a face card (K, Q, J) from a standard deck of cards, you earn 10 points. If

sveticcg [70]

There are 3 face cards for each of the 4 suits, leading to a total possible gain of 120, there are 40 other cards leading to a total possible loss of 80.
120 - 80 = 40.
40 / 52 (total number of cards) = about .77

Final Answer:
The expected value of a draw is positive 0.77 points.
Hope I helped :)

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Which of the following statements is not true? a) The standard deviation of the sampling distribution of sample mean = σ/√n b) T

I am Lyosha [343]

Answer:

e) The mean of the sampling distribution of sample mean is always the same as that of X, the distribution from which the sample is taken.

Step-by-step explanation:

The central limit theorem states that

"Given a population with a finite mean μ and a finite non-zero variance σ2, the sampling distribution of the mean approaches a normal distribution with a mean of μ and a variance of σ2/N as N, the sample size, increases."

This means that as the sample size increases, the sample mean of the sampling distribution of means approaches the population mean. This does not state that the sample mean will always be the same as the population mean.

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3 years ago

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marusya05 [52]

Answer:

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