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katen-ka-za [31]
3 years ago
13

Can someone help with this please

Mathematics
2 answers:
DanielleElmas [232]3 years ago
7 0

Answer:

Step-by-step explanation:

3^8 * 3^4

ـــــــــــــــــــــ

3^2 * 3^8 =

3^(8+4)

ـــــــــــــــــــــ

3^(2+8) =

3^12

ـــــــــــــــــــــ

3^10 =

3^2

crimeas [40]3 years ago
5 0

Answer:

3^2

Step-by-step explanation:

\frac{3^8*\:3^4}{3^2*\:3^8}

Apply Exponent rule: a^b\cdot \:a^c=a^{b+c}

\frac{3^{12}}{3^8* \:3^2}

\frac{3^{12}}{3^{10}}

Apply exponent rule: \frac{x^a}{x^b}=x^{a-b}

3^{12-10}=3^2

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a wool suit discounted by 30% for a clearance sale, has a price tag of $199. what was the suit's original price
Elena-2011 [213]

Answer:

<h2><em>$284.29</em></h2>

Step-by-step explanation:

Let the original price be x

The discounted price for a clearance sale = 30% of x

If the price tag after discounting = $199.

Using the relationship to find the original price x

Original price - discounted price = Current price tag after discounting

x - 0.3x = 199

0.7x = 199

Divide both sides by 0.7

0.7x/0.7 = 199/0.7

x = $284.29

<em>Hence the suit's original price is approximately $284.29</em>

<em />

5 0
3 years ago
REALLY NEED HELP
IgorLugansk [536]
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3 years ago
A statistician is testing the null hypothesis that exactly half of all engineers will still be in the profession 10 years after
lana [24]

Answer:

95% confidence interval estimate for the proportion of engineers remaining in the profession is [0.486 , 0.624].

(a) Lower Limit = 0.486

(b) Upper Limit = 0.624

Step-by-step explanation:

We are given that a statistician is testing the null hypothesis that exactly half of all engineers will still be in the profession 10 years after receiving their bachelor's.

She took a random sample of 200 graduates from the class of 1979 and determined their occupations in 1989. She found that 111 persons were still employed primarily as engineers.

Firstly, the pivotal quantity for 95% confidence interval for the population proportion is given by;

                         P.Q. = \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of persons who were still employed primarily as engineers  = \frac{111}{200} = 0.555

           n = sample of graduates = 200

           p = population proportion of engineers

<em>Here for constructing 95% confidence interval we have used One-sample z proportion test statistics.</em>

So, 95% confidence interval for the population proportion, p is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5% level of

                                                 significance are -1.96 & 1.96}  

P(-1.96 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.96) = 0.95

P( -1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

P( \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

<u>95% confidence interval for p</u> = [ \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ]

 = [ 0.555-1.96 \times {\sqrt{\frac{0.555(1-0.555)}{200} } } , 0.555+1.96 \times {\sqrt{\frac{0.555(1-0.555)}{200} } } ]

 = [0.486 , 0.624]

Therefore, 95% confidence interval for the estimate for the proportion of engineers remaining in the profession is [0.486 , 0.624].

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3 years ago
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harkovskaia [24]

Answer:

I think it's B

Step-by-step explanation:

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The perimeter formula for a rectangle is P=2L+2W. If the length of a rectangle is 2x^2+x-3 and the width is x+7, write an expres
Leto [7]

Answer:

P=(2x*2+x-3)L+ (x+7)2w

Step-by-step explanation:

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