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kicyunya [14]
3 years ago
7

Please need help on this

Mathematics
2 answers:
Trava [24]3 years ago
7 0

Answer:

The perimeter of a shape is the sum of the measurements of all sides. Since a rectangle have equal lengths and widths, you can just add the numbers twice.

So, 15 + 15 + 8 + 8. So the perimeter is 46 cm.

Rudiy273 years ago
5 0

Answer:

E. 46

Step-by-step explanation:

The perimeter of a square or rectangle can be found by using the following formula:

(length + legnth) + (width + width) = perimeter

Our length here is 15 and the width is 8, so substitute the values into the equation.

(15 + 15) + (8 + 8) = perimeter

Now solve

(15 + 15) + (8 + 8)

(30) + (8 + 8)

(30) + (16)

=46

Therefore, the perimeter (and answer) is E. 46

I hope this helps!

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(1 pt) In a study of red/green color blindness, 950 men and 2050 women are randomly selected and tested. Among the men, 89 have
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Answer: (0.066,0.116)

Step-by-step explanation:

The confidence interval for proportion is given by :-

p_1-p_2\pm z_{\alpha/2}\sqrt{\dfrac{p_1(1-p_1)}{n_1}+\dfrac{p_2(1-p_2)}{n_2}}

Given : The proportion of men have red/green color blindness = p_1=\dfrac{89}{950}\approx0.094

The proportion of women have red/green color blindness = p_2=\dfrac{6}{2050}\approx0.003

Significance level : \alpha=1-0.99=0.01

Critical value : z_{\alpha/2}=z_{0.005}=\pm2.576

Now, the 99% confidence interval for the difference between the color blindness rates of men and women will be:-

(0.094-0.003)\pm (2.576)\sqrt{\dfrac{0.094(1-0.094)}{950}+\dfrac{0.003(1-0.003)}{2050}}\approx0.091\pm 0.025\\\\=(0.09-0.025,0.09+0.025)=(0.066,\ 0.116)

Hence, the 99% confidence interval for the difference between the color blindness rates of men and women= (0.066,0.116)

4 0
3 years ago
5( x + 7) - 3 ( x - 4) = 7x + 2 what is x?
S_A_V [24]

Answer:

x=9

Step-by-step explanation:

5( x + 7) - 3 ( x - 4) = 7x + 2

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5x+35 - 3x +12 = 7x +2

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Subtract 2x from each side

2x+47-2x =7x -2x+2

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Subtract 2 from each side

47-2= 5x+2-2

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Answer:

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And we can use the z score formula given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

And if we find the parameters we got:

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Step-by-step explanation:

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p(\hat p >0.4)

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\hat p \sim N( p, \sqrt{\frac{p (1-p)}{n}})

And we can use the z score formula given by:

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\mu_p = 0.26

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