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DiKsa [7]
3 years ago
6

 PLEASE HURRY I WILL GIVE BRAINLIEST AND 5 STAR AND HEART! THANK YOU!

Mathematics
1 answer:
Leya [2.2K]3 years ago
7 0

Answer:

I believe it is 55°.

I can't remember the exact steps for this tho.

I hope it is right! good luck!

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We are given a coin for which the probability of heads is p (0 < p < 1) and the probability of tails is 1 - p. consider a
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4 years ago
Find the area of the circle. Round to the nearest whole number
GuDViN [60]

Hello!

\mathcal{GIVEN:}

  • Diameter of the circle = 12 cm

\mathcal{TO\:FIND:}

Area of the Circle

\mathcal{SOLUTION:}

A=πr²

Hey! We have the diameter, not the radius.

Don't panic. In order to find the radius, we should divide the diameter by 2.

So, the radius is 6.

Plug it into the formula:

A=π(6)²

A=π(36)

A≈113 cm

Hope it helps!

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3 years ago
1/3 = /6<br> - 1/6 = /6<br><br> How do you find the unlike denominator. Can you explain
lakkis [162]

Answer:

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You don't do anything to the -1/6

But to change the 1/3 you need to multiply 3 and 1 by two, which is 2/6

And the -1/6 stays the same  

5 0
3 years ago
According to the Central Limit Theorem, which statements(s) are TRUE. There may be more than 1 correct answer. A. An increase in
Liono4ka [1.6K]

Answer:

Options A, B and C are correct.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

From the Central Limit Theorem, we have that:

The larger the sample size, the closer to the normal distribution the distribution of sample means is.

No matter the sample size, the mean is the same.

The larger the sample size, the smaller the standard deviation.

The smaller the sample size, the larger the standard deviation.

So the correct options are:

A, B, C

6 0
3 years ago
Convert 111110 base two to base eight​
Gre4nikov [31]

Answer: I got 76.

Step-by-step explanation:

8 0
3 years ago
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