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4 years ago

When can 1/3 be bigger than 1/2

Mathematics

2 answers:

mr_godi [17]4 years ago

7 0

The 1/3 fraction can never be bigger than 1/2.

Brut [27]4 years ago

4 0

1/3 of something can never be bigger
than 1/2 of the same thing.

But if you're talking about 1/3 of a horse
and 1/2 of a rabbit, well, then . . .

You might be interested in

The ratio of males to females in a cycling club is 5:3.

taurus [48]

Answer:

3/2

Step-by-step explanation:

The ratio of males to females in a cycling club is 5:3.

1/3 of the males are under 18

2/9 of the females are under 18

The fraction of the club members that are under 18 is calculated as:

Male: Female = Male/Female

We are told in the above question:

1/3 of the males are under 18

2/9 of the females are under 18

Hence:

1/3 / 2/9

= 1/3 ÷ 2/9

= 1/3 × 9/2

= 3/2

The fraction of the club members that are under 18 is 3/2

6 0

3 years ago

Joan has a square flower bed with a side length of 5 meters filled with tulips. there are a total of 375 tulips in the bed. find

erma4kov [3.2K]

Answer:

the answer is 15

Step-by-step explanation:

density= total population/surface area

density= 375/5^2

density=375/25=15

8 0

2 years ago

Need help failing math

faust18 [17]

Answer:

6,-9

Step by step explaination

First you have got the number (4-7)

use the formula of transformation by adding 2

8 0

3 years ago

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A researcher is interested in whether people are less able to identify emotions correctly when they are extremely tired. It is k

stepan [7]

<h2>Answer with explanation:</h2>

Let $\mu$ be the population mean.

By analyzing the given information, we have the following hypothesis:-

$H_0:\mu\geq81\\\\H_a:\mu$

Since the alternative hypotheses is left tailed so the test is a right-tailed test.

Also, the accuracy ratings of people in the general population are normally distributed.

Given : Sample size : n=51 , since n>30 so we use z-test.

Sample mean : $\overline{x}=79$

Standard deviation : $\sigma=\sqrt{20}\approx4.47$

Test statistic for population mean :-

$z=\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}$

$\Rightarrow\ z=\dfrac{79-81}{\dfrac{4.47}{\sqrt{51}}}\\\\\Rightarrow\ z\approx-3.195$

Critical value (one-tailed) corresponds to the given significance level :-

$z_{\alpha}=z_{0.05}=1.645$

Since the observed value of z (-3.195) is less than the critical value (1.645) , so we do not reject the null hypothesis.

Hence, we conclude that we do not have enough evidence to accept that people are less able to identify emotions correctly when they are extremely tired .

3 0

3 years ago

Whoever answers right gets a Brainly

irakobra [83]

Answer: (0,-4)

ur welcome pls brainlist

8 0

3 years ago

Read 2 more answers