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andre [41]
4 years ago
13

What is the area in square centimeters of 2.4 cm and 5.8 cm

Mathematics
1 answer:
PolarNik [594]4 years ago
7 0
14.5 cm is the answer i believe
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Find the slope of the line passing through the points (-2, 9) and (-10, 33).
Nina [5.8K]
Slope = rise / run = Δy / Δx = (y2 - y1) / (x2 - x1) = [33 - 9] / [ (-10 - (-2)]

Slope = 24 / ( -8) = - 3

Answer: - 3
8 0
3 years ago
[50 Pts] Graph the function <img src="https://tex.z-dn.net/?f=f%20%28x%29%20%3Dx%5E%7B2%7D%20%2B%204x%20-%2012" id="TexFormula1"
Ivahew [28]
The answer is (x-2)(x+6) you should try and download
8 0
3 years ago
Read 2 more answers
A population of values has a normal distribution with μ=204.9μ=204.9 and σ=81.9σ=81.9. You intend to draw a random sample of siz
marin [14]

Answer:

7. μ=204.9 and σ=5.4968

8. μ=75.9 and σ=0.7136

9. p=0.9452

Step-by-step explanation:

7. - Given that the population mean =204.9 and the standard deviation is 81.90 and the sample size n=222.

-The sample mean,\mu_xis calculated as:

\mu_x=\mu=204.9, \mu_x=sample \ mean

-The standard deviation,\sigma_x is calculated as:

\sigma_x=\frac{\sigma}{\sqrt{n}}\\\\=\frac{81.9}{\sqrt{222}}\\\\=5.4968

8. For a random variable X.

-Given a X's population mean is 75.9, standard deviation is 9.6 and a sample size of 181

-#The sample mean,\mu_x is calculated as:

\mu_x=\mu\\\\=75.9

#The sample standard deviation is calculated as follows:

\sigma_x=\frac{\sigma}{\sqrt{n}}\\\\=\frac{9.6}{\sqrt{181}}\\\\=0.7136

9. Given the population mean, μ=135.7 and σ=88 and n=59

#We calculate the sample mean;

\mu_x=\mu=135.7

#Sample standard deviation:

\sigma_x=\frac{\sigma}{\sqrt{n}}\\\\=\frac{88}{\sqrt{59}}\\\\=11.4566

#The sample size, n=59 is at least 30, so we apply Central Limit Theorem:

P(\bar X>117.4)=P(Z>\frac{117.4-\mu_{\bar x}}{\sigma_x})\\\\=P(Z>\frac{117.4-135.7}{11.4566})\\\\=P(Z>-1.5973)\\\\=1-0.05480 \\\\=0.9452

Hence, the probability of a random sample's mean being greater than 117.4 is 0.9452

7 0
3 years ago
How many pounds are in 5 kg<br>11.025 pounds<br>15.435 pounds<br>15.876 pounds<br>24.255 pounds​
Harlamova29_29 [7]

Answer:

11.025 pounds are in 5kg

4 0
3 years ago
Why is this binomial and what is the answer?
pashok25 [27]

Answer:

2e⁻² ≈ 0.271

Step-by-step explanation:

This is actually a Poisson distribution.  The probability is:

P(x; μ) = e^(-μ) (μˣ) / x!

P(2; 2) = e⁻² (2²) / 2!

P(2; 2) = 2e⁻²

P(2; 2) ≈ 0.271

5 0
4 years ago
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