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mylen [45]
3 years ago
9

This is not a multiple choice, I need your help!

Mathematics
2 answers:
77julia77 [94]3 years ago
7 0

Answer:

Trapezoid, E, is the correct answer.

nikitadnepr [17]3 years ago
6 0

Answer:

All of them because its four sides which is a quadrilateral and all of the above shapes have four sides

Step-by-step explanation:

You might be interested in
Which of the following has a value of 84? <br> A. 512 <br> B. 4,096 <br> C. 32 <br> D. 83
andreev551 [17]
Answer is B. 4,096

I encountered this problem before. This is a trick question.
84 is not really the number 84. It is 8 raised to the 4th power.

So 8⁴ is equal to 4,096.

8 x 8 x 8 x 8 = 4,096

    8 x 8 =      64
  64 x 8 =    512
512 x 8 = 4,096




6 0
3 years ago
If<br>find the values of x and y.​
uysha [10]
5-2=3 so x is equal to 3
-3+10 is equal to 7 so y is equal to 10
With this we can conclude that x=3 and y=10
I hope that helps :)
8 0
2 years ago
6x^2y^3/3xy<br><br> 6x squared times y cubed <br> divided by 3xy <br> simplify
Lera25 [3.4K]

Answer:

2xy^2


Step-by-step explanation:

The question is:

\frac{6x^{2}y^3}{3xy}


<em>"6" and "3" cancels out as well as the "x"s and "y"s. Shown below</em>:

\frac{6x^{2}y^3}{3xy}\\=2xy^2

4 0
3 years ago
A consumer group has determined that the distribution of life spans for gas ranges (stoves) has a mean of 15.0 years and a stand
Art [367]

Answer:

b. Mean = 1.6 years, standard deviation - 0.92 years, shape: approximately Normal.

Step-by-step explanation:

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.

Subtraction of normal Variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

A consumer group has determined that the distribution of life spans for gas ranges (stoves) has a mean of 15.0 years and a standard deviation of 4.2 years. Sample of 35:

This means that:

\mu_G = 15

s_G = \frac{4.2}{\sqrt{35}} = 0.71

The distribution of life spans for electric ranges has a mean of 13.4 years and a standard deviation of 3.7 years. Sample of 40:

This means that:

\mu_E = 13.4

s_E = \frac{3.7}{\sqrt{40}} = 0.585

Which of the following best describes the sampling distribution of the difference in mean life span of gas ranges and electric ranges?

Shape is approximately normal.

Mean:

\mu = \mu_G - \mu_E = 15 - 13.4 = 1.6

Standard deviation:

s = \sqrt{s_G^2+s_E^2} = \sqrt{0.71^2+0.585^2} = 0.92

So the correct answer is given by option b.

8 0
3 years ago
If m 1 = 40, find the measure of 7
TEA [102]
M 7=280. you just multiply 7 by 40 to get your answer. i am pretty sure.
5 0
3 years ago
Read 2 more answers
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