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ehidna [41]
3 years ago
5

Which is the area of a circle with circumference of 15.7 units?( Use 3.14 for )

Mathematics
2 answers:
Levart [38]3 years ago
7 0
Circumference of a circle= 2πr = 15.7
from this radius r= 15.7/ 2π
r= 15.7/(2x 3.14)
r= 15.7/ 6.28 = 2.5
therefore area = π r^2= π x r x r
= 3.14 x 2.5 X 2.5 = 19.625 sq units
damaskus [11]3 years ago
4 0
A = π(r²) --- r is radius

C = πd --- d is diameter

First, the circumference must be found. If the circumference is 15.7, plug it in.

15.7 = πd

We know what pi is.

15.7 = 3.14 (d)

Now, simply divide 3.14 by 15.7 to find the diameter (d). You get 5. Since the radius is half of the diameter, the radius is 2.5. Plug this into the area formula, and plug pi in, too.

A = 3.14(2.5²) 

2.5 to the second power is 6.25.

A = 3.14(6.25)

Tada! Multiply, and you're left with 19.625!
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Math help please =)
a_sh-v [17]
2x - 3 < 11 or 8x -10 < 82:  <span>X < 23/2
<span>
Part 1</span>
</span>2x-3<11
Add 3 both sides
2x-3+3<11+3
Refine
2x<14
Divide by 2 on both sides
2x / 2    /   14 / 2
Refine
x < 7
<span>
Part 2</span>
8x-10<82
Add 10 to both sides
8x-10+10<82+10
Refine
8x<92
Divide by 8
8x / 8   /   92 / 8
Refine
x < 23 / 2
7 0
3 years ago
Boxes of raisins are labeled as containing 22 ounces. Following are the weights, in the ounces, of a sample of 12 boxes. It is r
ZanzabumX [31]

Answer:

A 90% confidence interval for the mean weight is [21.78 ounces, 21.98 ounces].

Step-by-step explanation:

We are given the weights, in the ounces, of a sample of 12 boxes below;

Weights (X): 21.88, 21.76, 22.14, 21.63, 21.81, 22.12, 21.97, 21.57, 21.75, 21.96, 22.20, 21.80.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                         P.Q.  =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean weight = \frac{\sum X}{n} = 21.88 ounces

            s = sample standard deviation = \sqrt{\frac{\sum (X-\bar X)^{2} }{n-1} }  = 0.201 ounces

            n = sample of boxes = 12

            \mu = population mean weight

<em>Here for constructing a 90% confidence interval we have used a One-sample t-test statistics because we don't know about population standard deviation.</em>

<u>So, 90% confidence interval for the population mean, </u>\mu<u> is ;</u>

P(-1.796 < t_1_1 < 1.796) = 0.90  {As the critical value of t at 11 degrees of

                                                  freedom are -1.796 & 1.796 with P = 5%}  

P(-1.796 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 1.796) = 0.90

P( -1.796 \times {\frac{s}{\sqrt{n} } } < {\bar X-\mu} < 1.796 \times {\frac{s}{\sqrt{n} } } ) = 0.90

P( \bar X-1.796 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X+1.796 \times {\frac{s}{\sqrt{n} } } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X-1.796 \times {\frac{s}{\sqrt{n} } } , \bar X+1.796 \times {\frac{s}{\sqrt{n} } } ]

                                        = [ 21.88-1.796 \times {\frac{0.201}{\sqrt{12} } } , 21.88+1.796 \times {\frac{0.201}{\sqrt{12} } } ]

                                        = [21.78, 21.98]

Therefore, a 90% confidence interval for the mean weight is [21.78 ounces, 21.98 ounces].

8 0
3 years ago
HELP PLZZ.<br>I KNOW NO POINTS BUT JUST PLEASE HELP ME!!!​
Svetlanka [38]

Answer:

for number 6 the answer is 6x = -12

the value of x would be 2

6 0
4 years ago
One hundred and twenty-one million, six hundred and nine<br>​
antoniya [11.8K]

Answer: 121,000,609.

7 0
3 years ago
Suppose a simple random sample of size n = 1000 is obtained from a population whose size is N = 2,000,000 and whose population p
faltersainse [42]

Answer:

p(x\geq 520)  = 0.0293

Step-by-step explanation:

Given data:

random sample size n = 1000

Population size is N - 2,000,000

P = 0.49

We know

\sigma_p = \sqrt{\frac{p*(1-p)}{n}}

\sigma_ p = \sqrt{\frac{0.49*(1-0.49)}{1000}} = 0.0158

Probability for having X =520

sample proportion \hat p = \frac{520}{1000} = 0.52

p(x\geq 520)  = P(\hat p\geq)

                       = P(Z\geq \frac{0.52 - 0.49}{0.0158})

                       = P(Z\geq 1.89) = 0.0293

p(x\geq 520)  = 0.0293

6 0
3 years ago
Read 2 more answers
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