Yo i need sm help forgot what rational number were *extra point if answered in first 5 min

Mathematics

1 answer:

AlladinOne [14]3 years ago

7 0

Answer:

Step-by-step explanation:

Rational numbers are anything that can be expressed in the form a/b (that is, as a fraction aka a ratio). Pi is a value that goes on forever, so you can't set that up as a ratio; it's a famous irrational number. The square root of 34 is not even. If you put it in a calculator it gives you an ugly decimal, and if you try to convert it to a fraction, you can't. The same can be said for the square root of 40. The square root of 49, if you evaluate it, however, does give you a result you can work with: positive or negative 7. Both of these can be expressed as a ratio like 7/1 or -7/1.

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at a putt-putt course there are 50 yellow golf balls,45 red golf balls,65 blue golf balls, 40 orange golf balls, and 60 green go

lions [1.4K]

Where is the table,but this is what i did without the table .
first added all the numbers up and got 260
then i put each color and the total in fraction form
then i simplified:
yellow would be: 50/260=5/26
red would be: 45/260=9/52
blue would be: 65/260=13/52
orange would be: 40/260=4/26
green would be: 60/260=6/26

5 0

3 years ago

The ratio of red cars to blue cars in a parking lot was 8 : 7. If there were 48 red cars, how many blue cars were there?

shutvik [7]

What you need to do is multiply both sides by the same number. If 8 times 6 is 48, then 7 times 6 is your answer.

8 0

3 years ago

3x-5y+6 how many terms are in this expression

djyliett [7]

3 terms are in the expression

7 0

3 years ago

7. (05.02 MC)

Diano4ka-milaya [45]

Considering the Central Limit Theorem, we have that:

a) The probability cannot be calculated, as the underlying distribution is not normal and the sample size is less than 30.

b) The probability can be calculated, as the sample size is greater than 30.

<h3>What does the Central Limit Theorem state?</h3>

It states that the sampling distribution of sample means of size n is approximately normal has standard deviation $s = \frac{\sigma}{\sqrt{n}}$ , as long as the underlying distribution is normal or the sample size is greater than 30.

In this problem, the underlying distribution is skewed right, that is, not normal, hence:

For item a, the probability cannot be calculated, as the underlying distribution is not normal and the sample size is less than 30.

For item b, the probability can be calculated, as the sample size is greater than 30.

More can be learned about the Central Limit Theorem at brainly.com/question/16695444

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2 years ago

What is 14.876 - 4.96

d1i1m1o1n [39]

Answer:

9.916 is the answer

4 0

3 years ago

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