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prohojiy [21]
3 years ago
10

Doing an Algebra assignment that is due today, I have multiple problems I need help with, I'm posting 5 questions at a time sinc

e I can't post them all. This is the second part :'|

Mathematics
1 answer:
Tcecarenko [31]3 years ago
7 0

Answer:

The answer is w^2 -12w +36

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Pls, help me with this function table in the screenshot below...
Y_Kistochka [10]

Answer:

-17

Step-by-step explanation:

Every number x goes up, the f(x) goes up by 9. -8+9=1 and 1+9=10. Therefore if the number goes down, you subtract. -8-9=-17

7 0
2 years ago
The area of a floor to be carpeted is 2700 square feet what is this area in square yards?
Cerrena [4.2K]
C 1yd^2 = 9ft^2 _____yd^2 = 2700ft^2 2700 / 9 = 300 yd^2
5 0
3 years ago
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The mean rent of a 3-bedroom apartment in Orlando is $1300. You randomly select 10 apartments around town. The rents are normall
lana [24]

Answer:

96.49% probability that the mean rent is more than $1100

Step-by-step explanation:

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

Normal probability distribution

Problems of normally distributed samples are solved using 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 problem, we have that:

\mu = 1300, \sigma = 350, n = 10, s = \frac{350}{\sqrt{10}} = 110.68

What is the probability that the mean rent is more than $1100?

This is 1 subtracted by the pvalue of Z when X = 1100. So

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

By the Central Limit Theorem

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

Z = \frac{1100 - 1300}{110.68}

Z = -1.81

Z = -1.81 has a pvalue of 0.0351

1 - 0.0351 = 0.9649

96.49% probability that the mean rent is more than $1100

7 0
3 years ago
Which expression represents the sum of (2x-5y) and (x+y)?
trasher [3.6K]
(2x-5y) + (x+y)  
= (2x+x) + (-5y+y)
 = 3x + (-4y)
 = 3x-4y 
 So option A is the correct one.
4 0
3 years ago
Can you help me solve 13 please 100 points
hoa [83]

Answer: A. 70

Step-by-step explanation:

95 + 90 + 85 + 80 + 70 = 420, then divide that by 5 equals 84

4 0
3 years ago
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