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lara31 [8.8K]
3 years ago
12

Help me solve this problem please

Mathematics
1 answer:
aleksklad [387]3 years ago
8 0

Answer:

(2,5) is right answer ok

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What means the same as 6 × 5? 65 5 5 5 5 5 6 6 6 6 6.
Gennadij [26K]

Multiplication is helps to add a number multiple times. The meaning of  6 x 5 is 6 + 6 + 6 + 6 + 6.

<h3>What is multiplication?</h3>

Multiplication tells us the number of times a number is been added to itself. For example, 3 x 2 = 3 + 3 = 2 + 2 + 2

Given to us

5 x 6

As we have already discussed that multiplication is the number of times a number is been added to itself. therefore,

5 x 6 = 5 + 5 + 5 + 5 + 5 + 5 = 6 + 6 + 6 + 6 + 6

Hence, the meaning of  6 x 5 is 6 + 6 + 6 + 6 + 6.

Learn more about Multiplication:

brainly.com/question/19943359

5 0
2 years ago
I NEED IT BY TOMORROW! DO NUMBER 10
Oksanka [162]

B finished in second place because it is the second greatest number, and C finished in 5th because it is the 5th greatest number

3 0
3 years ago
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How do i find the surface area?
daser333 [38]
Surface area is what it seems to be. All of the area of the solid's faces together. Like a cube, just find the areas of all of the squares that make the cube then add them together.
4 0
3 years ago
Help me please anybody. And I am in my school iPad
Debora [2.8K]

Answer:

(0,5)

Step-by-step explanation:

I'm really not sure but I'm pretty positive that this is the answer if not than my bad

8 0
2 years ago
Researchers working the mean weight of a random sample of 800 carry-on bags to e the airline. Which of the following best descri
Sphinxa [80]

Answer:

(E) The bias will decrease and the variance will decrease.

Step-by-step explanation:

Given that researchers working the mean weight of a random sample of 800 carry-on bags to e the airline.

We have to find out the effect of increasing the sample size on variance and bias.

We know as per central limit theorem, sample mean follows a normal distribution with mean = sample mean

and std deviation of sample mean = std error = \frac{std dev}{\sqrt{n} }

Thus std error the square root of variance is inversely proportional to the square root of sample size.

Also whenever we increase sample size the chances of bias would decrease as the sample size becomes larger

So correct answer is both bias and variation will decrease.

(E) The bias will decrease and the variance will decrease.

8 0
4 years ago
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