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Murljashka [212]
3 years ago
10

What is 0.6666666 as a fraction

Mathematics
2 answers:
tresset_1 [31]3 years ago
5 0

Answer:3333333/5000000

Step-by-step explanation:

lbvjy [14]3 years ago
3 0

Answer: \frac{33}{50}

Step-by-step explanation: To convet a decimal to a fraction is quite easy, all we have to do is...

\frac{0.66}{1}

Now, let's multiply both sides by 100

\frac{66}{100}

Now, let's simplify until we cant anymore...

\frac{33}{50}

The answer is \frac{33}{50}, I hope this helps!

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Pls help I will not let me add the screenshot so I'm going to try and explain. so there is a rectangle the top measures 10m and
-BARSIC- [3]
Answer:

£23

Explanation:

6x10=60
2x1.5=3
3.14x2^2=12.566
60-3-12.566=44.433
44.43/10=4.43
5 bags
5x4.60=23
=£23
3 0
3 years ago
X<9.7 on a line graph
fiasKO [112]
The inequality x < 9.7 tells us x needs to smaller than 9.7.
A number like 5 will be fine. Because 5 < 9.
But someone like 10 won't be fine.
Because 9 < 10.

Even 9.7 won't be suffice.

Because 9.7 < 9.7 does not make sense. If it was 9.7 <= 9.7 then it would be fine.
4 0
3 years ago
When s is the open hemisphere x 2 + y 2 + z 2 = 1, z ≤ 0 , oriented by the inward normal pointing to the origin, then the bounda
Anit [1.1K]
The figure below shows a diagram of this problem. First of all we graph the hemisphere. This one has a radius equal to 1. Given that z ≤ 0 a sphere will be valid only in the negative z-axis, that is, we will get a half of a sphere that is the hemisphere shown in the figure. We know that this hemisphere is oriented by the inward normal pointing to the origin, then we have a Differential Surface Vector called N, using the Right-hand rule <span>the boundary orientation is </span>counterclockwise.

Therefore, the answer above False

5 0
3 years ago
What is the standard error of a sampling distribution with a population standard deviation of 12 and the sample size of 81?
Marizza181 [45]

Answer: d. 1.3333

Step-by-step explanation:

We know that the standard error of a sampling distribution is given by :-

S.E.=\dfrac{\sigma}{\sqrt{n}}

, where \sigma = Population standard deviation.

n= Sample size.

AS per given , we have

\sigma =12

n=81

Then, the standard error of a sampling distribution with a population standard deviation of 12 and the sample size of 81 will be :-

S.E.=\dfrac{12}{\sqrt{81}}

=\dfrac{12}{\sqrt{9^2}}=\dfrac{12}{9}\\\\=\dfrac{4}{3}\\\\\approx1.3333

Hence, the standard error of a sampling distribution with a population standard deviation of 12 and the sample size of 81 is 1.3333.

Thus the correct answer is d. 1.3333 .

6 0
3 years ago
How long is x in inches?
nasty-shy [4]
It’s B or D probably B that’s just a guess though
3 0
3 years ago
Read 2 more answers
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