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Elenna [48]
3 years ago
15

Help ASAP!! I need this done because im behind

Mathematics
1 answer:
Alenkasestr [34]3 years ago
3 0
When you take any polynomial and subtract any other polynomial from it you always get a third polynomial that is the closure property
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Help!! I will mark Brainliest!! Please show work! :) Thank You.
SSSSS [86.1K]

Answer:

The center is (20, 0.05)   radius = 9

Step-by-step explanation:

The center is (20, 0.05)   radius = 9

from the general form of the equation:

(x - h)^2 + (y - k)^2 = r^2

we see that  r^2 = 81

so r = 9

3 0
3 years ago
Y’all i need help this is due today
NemiM [27]

Answer:

A

Step-by-step explanation:

20 x 2 = 40

30 x 2 = 60

7 0
2 years ago
Read 2 more answers
A negatively charged balloon moves close to another balloon. They then repel each other. What can be said about the other balloo
lana66690 [7]

Answer: B: It has a negative charge.

Step-by-step explanation:

According to theory espoused by the French physicist, Charles-Augustin de Coulomb, like charges charges will repel each other and unlike charges will attract one another.

This means that objects with negative charges will repel each other. As the first balloon in the question was negatively charged, it would only repel the other balloon if it was negatively charged as well.

4 0
3 years ago
An accounting firm is planning for the next tax preparation season. From last years returns, the firm collects a systematic rand
Elena L [17]

Answer:

a)From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error for the mean would be:

\sigma_{\bar X}= \frac{140}{\sqrt{100}} =14

b) We want this probability:

P(\bar X >120)

And we can use the z score formula given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

z = \frac{120-90}{\frac{140}{\sqrt{100}}}= 2.143

And we can find this probability with the complement rule and the normal standard deviation or excel and we got:

P( z>2.143) = 1-P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

Part a

From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error for the mean would be:

\sigma_{\bar X}= \frac{140}{\sqrt{100}} =14

Part b

We want this probability:

P(\bar X >120)

And we can use the z score formula given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

z = \frac{120-90}{\frac{140}{\sqrt{100}}}= 2.143

And we can find this probability with the complement rule and the normal standard deviation or excel and we got:

P( z>2.143) = 1-P(Z

4 0
3 years ago
The experimental probability of rain in a certain
devlian [24]

Answer:

18 days

Step-by-step explanation:

Find how many days it can be expected to rain by finding 60 percent of 30

30(0.6)

= 18

So, one can expect it to rain for a total of 18 days out of the 30 days

5 0
3 years ago
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