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Vedmedyk [2.9K]
3 years ago
15

Please help will mark brainly! give 10 points

Mathematics
2 answers:
dezoksy [38]3 years ago
8 0

Answer:

Option B

Step-by-step explanation:

<em>3/12 is same as 1/4</em>

<em />

Answer:  Option B

kotykmax [81]3 years ago
7 0

Answer: 1/4

Step-by-step explanation:

since 3, the numerator, fits into 12, reduce 12 by 3. You get 1/4.

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Please help me due today and giving 23 points
vladimir2022 [97]

Answer:

The answer is b. 4*3 2/5.

Step-by-step explanation:

It states 4 times the amount Ruby mixed. Ruby mixed it 3 2/5 solution. So you would right out 4 x 3 2/5.

5 0
2 years ago
Read 2 more answers
Are these integers please help
dolphi86 [110]

Answer:

63/9 = 7 -> Yes

-94 -> Yes

30/6 = 5 -> Yes

-16/3 ~ -5,33 -> Nope

-29,86 -> Nope

Step-by-step explanation:

Integers are whole Numbers.

For example 1,2,3,4,5...

The numbers between numbers are rational numbers.

Fir example:

1,2 ( between 1 and 2)

3,8 (between 3 and 4)

2,6 (between 2 and 3)

5 0
3 years ago
Read 2 more answers
Marla bought seven boxes. A week later half of all her boxes were destroyed in a fire. There are now only 22 boxes left. With ho
Cerrena [4.2K]
22*2=44

44-7=37

Marla started with 37 boxes.
5 0
3 years ago
Where to put parentheses on 15/3+2•11
Ann [662]

Answer:

You should put the parentheses on the 12/3+2(11)

Hope this helps! :)

4 0
3 years ago
Identify the type I error and the type II error for a hypothesis test of the indicated claim. The percentage of adults who retir
matrenka [14]

Answer:

<u>Type I error: </u>D. Reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually true.

<u>Type II error: </u>A. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually false.

Step-by-step explanation:

A type I error happens when a true null hypothesis is rejected.

A type II error happens when a false null hypothesis is failed to be rejected.

In this case, where the alternative hypothesis is that "the percentage of adults who retire at age 65 is greater than 62%", the null hypothesis will state that this percentage is not significantly greater than 62%.

A type I error would happen when the conclusion is that the percentage is greater than 62%, when in fact it is not.

A type II error would happen when there is no enough evidence to claim that the percentage is greater than 62%, even when the percentage is in fact greater than 62% (but we still don't have evidence to prove it).

5 0
3 years ago
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