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Irina-Kira [14]
2 years ago
10

What is 2w + 9( w + 10 )

Mathematics
1 answer:
morpeh [17]2 years ago
6 0

Answer:

ans.2w^2+20w+9w+90

Step-by-step explanation:

2w(w+10)+9(w+10)

2w^2+20w+9w+90

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What is the solution to y-12=20
vredina [299]

Hey there!

y-12=20

Add 12 to both sides. (do the inverse of subtraction, which is addition)

y=32

Check answer.

32-12=20 <=== checks out :)

I hope this helps!

~kaikers

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3 years ago
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ELEN [110]

Answer:slope is 4 and the y-intercept is 12

Step-by-step explanation: I hope this helps

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Write the following number words in symbols. 1.one hundred twenty-seven thousand, four hundred fifty-nine 2.Two hundred six mill
olga2289 [7]
1) 127,459
2) 206,320,096
3) 322.38
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3 years ago
Consider a parent population with mean 75 and a standard deviation 7. The population doesn’t appear to have extreme skewness or
Aleks04 [339]

Answer:

a) \bar X \sim N(\mu=375, \sigma={\bar X}=\frac{7}{\sqrt{40}}=1.107)

b) Since the sample size is large enough n>30 and the original distribution for the random variable X  doesn’t appear to have extreme skewness or outliers, the distribution for the sample mean would be bell shaped and symmetrical.

c) P(\bar X \leq 77)=P(Z

d) See figure attached

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".

Let X the random variable of interest. We know from the problem that the distribution for the random variable X is given by:

E(X) = 75

sd(X) = 7

We take a sample of n=40 . That represent the sample size

Part a

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

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

\bar X \sim N(\mu=375, \sigma={\bar X}=\frac{7}{\sqrt{40}}=1.107)

Part b

Since the sample size is large enough n>30 and the original distribution for the random variable X  doesn’t appear to have extreme skewness or outliers, the distribution for the sample mean would be bell shaped and symmetrical.

Part c

In order to answer this question we can use the z score in order to find the probabilities, the formula given by:

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

And we want to find this probability:

P(\bar X \leq 77)=P(Z

We can us the following excel code: "=NORM.DIST(1.807,0,1,TRUE)"

Part d

See the figure attached.

8 0
3 years ago
An array showing the factor pair of three and 6 would have 3 rows of 6 objects. True? Or False?
JulsSmile [24]

Answer:

false

Step-by-step explanation:

3 0
3 years ago
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