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alekssr [168]
1 year ago
11

If this net were to be folded into a

Mathematics
1 answer:
galina1969 [7]1 year ago
7 0

Answer:

5

Step-by-step explanation:

The squares with 2, 6, 4, 3 will be all the left, front, right, back sides. The 1 and 5 will flap up/down to be the top and bottom. So 1 and 5 will be opposite from each other.

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Solve for x y=9x-2x please help im beggiing
Alenkasestr [34]

Answer:

y = 9x - 2x \\ y = (9 -2)x \\ y = 7x \\ \boxed{ x =  \frac{y}{7} }

  • <u>x = y/7</u> is the right answer.
5 0
3 years ago
Which statement must be true?
Alika [10]
<span>A. A statement cannot become a theorem until it is proven</span>
6 0
3 years ago
Denise spent $3.45 on snacks every day for 11 days. What is the amount of money Denise spent on these snacks?
Ipatiy [6.2K]

Answer:

Your Answer would be C: $37.95

Step-by-step explanation:

Take 3.45 Multiply by 11 And get your answer

6 0
3 years ago
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What is the answer to 2/5*7/9?
AlladinOne [14]
The answer is equal to 2x7 / 5x9 = 14/45
4 0
3 years ago
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1) An underlying principle of statistical inference is that one uses sample statistics to learn something about population param
crimeas [40]

Answer:

Average of amount of time students spend trying to find an eatery spot on campus.

The sample would be a pool of 100 students to survey from.

Population would be all the students attending Harvard university.

Statistic would be the average amount of time spend looking for eatery spot in campus.

The parameter would be the mean used to find the average amount of time spent looking for eatery spot in campus.

It was a convenient sample.

Step-by-step explanation:

A population is the entire pool from which a statistical sample is drawn. In this case our population is the entire students that attend Harvard University.

A sample is usually drawn from a population. In this case, the 100 students that were drawn from the population is the sample.

The sample was a convenient sample as the sample can be easily drawn from the population population, it doesn't depend on any probability.

6 0
3 years ago
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