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lesya692 [45]
3 years ago
14

Find the area of the shape below

Mathematics
1 answer:
djverab [1.8K]3 years ago
7 0
Break it down into a rectangle and triangle.
Area of rectangle is lw
One side of the rectangle is 8 (MA)
The other side is 6
Area is 8x6 = 48

Area of a triangle is 1/2 bh
h is 8
b is 10(AZ) - 6 (ME) = 4
Area of triangle is 1/2 (4 x 8) = 12

Add 48 and 12 to get 60
The area is 60
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Which statements are true when verifying the solution set of |6-x/3|>18
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Answer:

B, C, D, F

Step-by-step explanation:

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4 0
3 years ago
26 is to 74 as 80 is to x x =?
Mila [183]
<span>26 is to 74 and 80 is to X
Since this is a ratio, let’s find the value of X
=> 26 : 74 = 80 : x
=> 74 x 80 = 5 920 / 26
=> 227.7
Let’s check if we have the correct answer.
=> 227.7 * 26
= 5920 / 74 = 80
Or let’s check the other way around
=> 5920 / 80 = 74
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5 0
3 years ago
I need help with these two questions<br><br>​
Galina-37 [17]

Answer:

The first one: 19/15a

second one: b²-4ac = D

Step-by-step explanation:

for first one: take LCM and solve

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6 0
2 years ago
Shelia's measured glucose level one hour after a sugary drink varies according to the normal distribution with μ = 117 mg/dl and
TiliK225 [7]

Answer:

The level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L is L = 127.1 mg/dl.

Step-by-step explanation:

To solve this problem, 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 random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 117, \sigma = 10.6, n = 6, s = \frac{10.6}{\sqrt{6}} = 4.33

What is the level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L ?

This is the value of X when Z has a pvalue of 1-0.01 = 0.99. So X when Z = 2.33.

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

By the Central Limit Theorem

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

2.33 = \frac{X - 117}{4.33}

X - 117 = 2.33*4.33

X = 127.1

The level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L is L = 127.1 mg/dl.

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3 years ago
Bob works at a construction company. He has an equally likely chance to be assigned to work diffrent crews every day. He can be
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