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ipn [44]
3 years ago
9

PLEASEE ANSWER ASAP PLEASE CAN SOMEONE ANSWER QUESTION A AND B ASAPP 50 POINTTSS!

Mathematics
1 answer:
Viktor [21]3 years ago
7 0

Answer:

a. fold at -2 b. sorry cant do it.

Step-by-step explanation:

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Which table has a constant of proportionality between y and x of 12?
konstantin123 [22]

Answer:

Table A

Step-by-step explanation:

If you do delta method (Change in y and x)

For example, 120-24

______ = 96/8

10-2

Then you divide both the numerator and denominator by the denominator (which is 8) and that gets us to 12 as our answer. Do the same method for all of the numbers in table A.

Ps: I hope that I was helpful, and you are welcome.

6 0
3 years ago
Find the missing length the triangles are similar
ivanzaharov [21]

Answer:

c.24

Step-by-step explanation:

First find the correlation between 55-33 and 50-30 since the triangles are similar these sides have the same correlation of 1 2/3

divide 50 by30 and 55by 33 to prove my statement.

After that you multiply the correlation by the final side 36time 1 2/3 to get almost exactly 60 subtract 36 from 60 and get 24.

7 0
3 years ago
11. 4p2 + 7p + 3<br> factoring equations
Natalka [10]

Answer:

\huge\boxed{4p^2+7p+3=(p+1)(4p+3)}

Step-by-step explanation:

4p^2+7p+3\\\\=4p^2+\underbrace{4p+3p}_{7p}+3\\\\=4p(p+1)+3(p+1)\\\\=(p+1)(4p+3)

8 0
4 years ago
Read 2 more answers
A population has a mean of 200 and a standard deviation of 50. Suppose a sample of size 100 is selected and x is used to estimat
zmey [24]

Answer:

a) 0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b) 0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

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.

In this question, we have that:

\mu = 200, \sigma = 50, n = 100, s = \frac{50}{\sqrt{100}} = 5

a. What is the probability that the sample mean will be within +/- 5 of the population mean (to 4 decimals)?

This is the pvalue of Z when X = 200 + 5 = 205 subtracted by the pvalue of Z when X = 200 - 5 = 195.

Due to the Central Limit Theorem, Z is:

Z = \frac{X - \mu}{s}

X = 205

Z = \frac{X - \mu}{s}

Z = \frac{205 - 200}{5}

Z = 1

Z = 1 has a pvalue of 0.8413.

X = 195

Z = \frac{X - \mu}{s}

Z = \frac{195 - 200}{5}

Z = -1

Z = -1 has a pvalue of 0.1587.

0.8413 - 0.1587 = 0.6426

0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b. What is the probability that the sample mean will be within +/- 10 of the population mean (to 4 decimals)?

This is the pvalue of Z when X = 210 subtracted by the pvalue of Z when X = 190.

X = 210

Z = \frac{X - \mu}{s}

Z = \frac{210 - 200}{5}

Z = 2

Z = 2 has a pvalue of 0.9772.

X = 195

Z = \frac{X - \mu}{s}

Z = \frac{190 - 200}{5}

Z = -2

Z = -2 has a pvalue of 0.0228.

0.9772 - 0.0228 = 0.9544

0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

7 0
3 years ago
A circle has a radius of 119.3 millimeters.
ss7ja [257]
The formula for circumference is 2πr.

C = 2(3.14)(119.3)
C = 749.204

Nearest tenth would be 749.20 mm
6 0
3 years ago
Read 2 more answers
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