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ra1l [238]
3 years ago
15

25 if answered please help

Mathematics
1 answer:
Elan Coil [88]3 years ago
8 0
A line = 180 degrees
 so z = 180 - 124

z = 56
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Question 1<br> Find the area of the shaded region.<br> 18 ft<br> 15 ft<br> 8 ft<br> A = ft?
qwelly [4]

Answer:

<h2>135 ft²</h2><h2 />

Step-by-step explanation:

see attached image

<u>shaded area = total area (1)  - unshaded triangular area (2)</u>

1.  area of a trapezoid = (a + b) * h/2

   where a = 8,  b = 18,  h = 15

   Area of trapezoid = (8 + 18) * 15/2 = 195 ft²

2.  Area of unshaded triangle = 1/2 (8) 15 = 60 ft²

shaded area =  195 - 60 = 135 ft²

4 0
3 years ago
Please help me with this. It makes no sense to me.
lara [203]

Answer:

D

Step-by-step explanation:

<8 and <5 are vertical angles

6 0
3 years ago
At a large university, the mean amount spent by students for cell phone service is $58.90 per month with a standard deviation of
zhenek [66]

Answer:

2.28% probability that the mean amount of their monthly cell phone bills is more than $60

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 = 58.90, \sigma = 3.64, n = 44, s = \frac{3.64}{\sqrt{44}} = 0.54875

What is the probability that the mean amount of their monthly cell phone bills is more than $60?

This is 1 subtracted by the pvalue of Z when X = 60. So

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

By the Central Limit Theorem

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

Z = \frac{60 - 58.90}{0.54875}

Z = 2

Z = 2 has a pvalue of 0.9772

1 - 0.9772 = 0.0228

2.28% probability that the mean amount of their monthly cell phone bills is more than $60

4 0
3 years ago
Question 2 of 10
rusak2 [61]

Answer:

4

Step-by-step explanation:

Since the base angles are the same, the side have to be the same

ML = MN

4x = x+3

Subtract x from each side

4x-x = x+3-x

3x= 3

Divide by 3

3x/3 = 3/3

x = 1

We want the length of MN

MN = x+3 = 1+3 = 4

4 0
3 years ago
Read 2 more answers
I only have 8 minutes left please help!!! The expression h(x)= -5x2 + 25x + 70 can be used to estimate the height(h), in meters,
rewona [7]
Hence x is 7 seconds

8 0
3 years ago
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