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inysia [295]
3 years ago
12

Photos are attached, large amount of points reward, please answer correctly, will give brainliest!

Mathematics
1 answer:
kompoz [17]3 years ago
4 0
I can’t answer part c but

The x-int = (24,0)
The y-int = (0,20)
The slope = -5/6

Here’s what the graph would look like

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Explain how you are able to get the answer without having to multiply 1.23 by 10 thirteen times.​
max2010maxim [7]
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5 0
2 years ago
A rectangle has perimeter 182 inches and length 52 inches what is the width
zimovet [89]
If the perimeter is 182, double the length which is 52 to get 104.  Subtract that from 182 to get 78. Divide that by 2 to get the width which is 39.
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3 years ago
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Find the 12th term of the geometric sequence 8, 16, 32...
Yuki888 [10]

Answer:

a₁₂ = 16384

Step-by-step explanation:

The nth term of a geometric sequence is

a_{n} = a₁ (r)^{n-1}

where a₁ is the first term and r the common ratio

Here a₁ = 8 and r = a₂ ÷ a₁ = 16 ÷ 8 = 2 , then

a₁₂ = 8 × 2^{11} = 8 × 2048 = 16384

3 0
3 years ago
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Geometry: The rectangle shown has a perimeter of 34cm and the given area. Its length is 5 more than twice it's width. Write and
Thepotemich [5.8K]

w - width

2w + 5 - length

w + w + (2w + 5) + (2w + 5) = 6w + 10 - perimeter

34 cm - perimeter

The equation:

6w + 10 = 34    <em>subtract 10 from both sides</em>

6w = 24    <em>divide both sides by 6</em>

w = 4 cm

2w + 5 = 2(4) + 5 = 8 + 5 = 13 cm

<h3>Answer: Width = 4cm, Length = 13cm</h3>
3 0
2 years ago
Two statistics teachers both believe that each has the smarter class. To put this to the test, they give the same final exam to
SVETLANKA909090 [29]

Answer:

We conclude that there is no difference between the two classes.

Step-by-step explanation:

We are given that two statistics teachers both believe that each has a smarter class.

A summary of the class sizes, class means, and standard deviations is given below:n1 = 47, x-bar1 = 84.4, s1 = 18n2 = 50, x-bar2 = 82.9, s2 = 17

Let \mu_1 = mean age of student cars.

 \mu_2 = mean age of faculty cars.

So, Null Hypothesis, H_0 : \mu_1=\mu_2      {means that there is no difference in the two classes}  

Alternate Hypothesis, H_A : \mu_1\neq \mu_2      {means that there is a difference in the two classes}

The test statistics that will be used here is <u>Two-sample t-test statistics</u> because we don't know about the population standard deviations;

                         T.S.  =  \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)}{s_p \times \sqrt{\frac{1}{n_1}+\frac{1}{n_2} } }   ~  t_n_1_+_n_2_-_2

where, \bar X_1 = sample mean age of student cars = 8 years

\bar X_2  = sample mean age of faculty cars = 5.3 years  

s_1 = sample standard deviation of student cars = 3.6 years  

s_2 = sample standard deviation of student cars = 3.7 years  

n_1 = sample of student cars = 110  

n_2 = sample of faculty cars = 75  

Also, s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times s_2^{2} }{n_1+n_2-2} }  = \sqrt{\frac{(47-1)\times 18^{2}+(50-1)\times 17^{2} }{47+50-2} }  = 17.491

So, <u><em>the test statistics</em></u> =  \frac{(84.4-82.9)-(0)}{17.491 \times \sqrt{\frac{1}{47}+\frac{1}{50} } }  ~  t_9_5

                                     =  0.422    

The value of t-test statistics is 0.422.

<u>Now, the P-value of the test statistics is given by;</u>

P-value = P(t_9_5 > 0.422) = From the t table it is clear that the P-value will lie somewhere between 40% and 30%.

Since the P-value of our test statistics is way more than the level of significance of 0.04, so <u><em>we have insufficient evidence to reject our null hypothesis</em></u> as our test statistics will not fall in the rejection region.

Therefore, we conclude that there is no difference between the two classes.

6 0
2 years ago
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