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MA_775_DIABLO [31]
4 years ago
10

I need help ASAP for geometry!

Mathematics
1 answer:
melisa1 [442]4 years ago
4 0

Answer: sorry this is a test we can't help but if go back to your review and don't understand put your question here

Step-by-step explanation:

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ANSWER QUICKLY PLEWSE FOR BRAINLIEST
photoshop1234 [79]
Angle 3:
62+47=109
All angles in a triangle add to 180 degrees, so 180-109= 71 degrees
Angle 2:
Angles in a straight line always add to 180 degrees too,
so 180-62= 118 degrees
Angle 1:
Again, angles in a triangle add to 180,
so 180-22-118= 40 degrees

Angle 1: 40
Angle 2: 118
Angle 3: 71
Hope that helps :)
6 0
3 years ago
Angela decides to recycle a large oatmeal container by using it to hold a friends birthday gift. Then she wraps the container in
Deffense [45]

Answer:

D. 135.37 in²

Step-by-step explanation:

We have that the gift paper consists of two circles and a square.

Thus, we will need to find the area of the circles and the square.

Now, as the diameter of the circle = 4 inches

So, the radius of the circle = \frac{4}{2} = 2 inches

Since, the area of a circle = \pi r^{2}

This implies that area of the two circles = 2\times \pi r^{2}

i.e. Area of the circles =  2\times \pi 2^{2}

i.e. Area of the circles =  8\pi

i.e. Area of the two circles = 25.133 in²

Further, one side of the square = 10.5 inches

Thus, the area of the square = side^{2}

i.e. Area of the square = 10.5^{2}

i.e. Area of the square = 110.25 in²

So, the overall area of the gift paper = 25.133 + 110.25 = 135.37 in².

Hence, the amount of paper used by Angela is 135.37 in².

7 0
3 years ago
The price of a computer is reduced by 17.5%. The reduced price is £264 by how much is the price reduced
Anestetic [448]

Answer:

Step-by-step explanation:

100%-17.5%= 82.5%

82.5% (divide) 82.5%= 1%

so (1% of the orginal price)=

£264 (divide) 82.5%= £320= original price

4 0
3 years ago
Read 2 more answers
How are these triangles congruent
Sergio039 [100]

Answer:

Step-by-step explanation:

I think it's B

4 0
3 years ago
The amount of money spent on textbooks per year for students is approximately normal.
Contact [7]

Answer:

(A) A 95% confidence for the population mean is [$332.16, $447.84] .

(B) If the confidence level in part (a) changed from 95% to 99%, then the margin of error for the confidence interval would increase.

(C) If the sample size in part (a) changed from 19 to 22, then the margin of error for the confidence interval would decrease.

(D) A 99% confidence interval for the proportion of students who purchase used textbooks is [0.363, 0.477]  .

Step-by-step explanation:

We are given that 19 students are randomly selected the sample mean was $390 and the standard deviation was $120.

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 = $390

            s = sample standard deviation = $120

            n = sample of students = 19

            \mu = population mean

<em>Here for constructing a 95% confidence interval we have used a One-sample t-test statistics because we don't know about population standard deviation. </em>

<u>So, 95% confidence interval for the population mean, </u>\mu<u> is ; </u>

P(-2.101 < t_1_8 < 2.101) = 0.95  {As the critical value of t at 18 degrees of

                                               freedom are -2.101 & 2.101 with P = 2.5%}  

P(-2.101 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 2.101) = 0.95

P( -2.101 \times {\frac{s}{\sqrt{n} } } < {\bar X-\mu} < 2.101 \times {\frac{s}{\sqrt{n} } } ) = 0.95

P( \bar X-2.101 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X+2.101 \times {\frac{s}{\sqrt{n} } } ) = 0.95

<u> 95% confidence interval for</u> \mu = [ \bar X-2.101 \times {\frac{s}{\sqrt{n} } } , \bar X+2.101 \times {\frac{s}{\sqrt{n} } } ]

                        = [ \$390-2.101 \times {\frac{\$120}{\sqrt{19} } } , \$390+2.101 \times {\frac{\$120}{\sqrt{19} } } ]

                        = [$332.16, $447.84]

(A)  Therefore, a 95% confidence for the population mean is [$332.16, $447.84] .

(B) If the confidence level in part (a) changed from 95% to 99%, then the margin of error for the confidence interval which is Z_(_\frac{\alpha}{2}_) \times \frac{s}{\sqrt{n} } would increase because of an increase in the z value.

(C) If the sample size in part (a) changed from 19 to 22, then the margin of error for the confidence interval which is Z_(_\frac{\alpha}{2}_) \times \frac{s}{\sqrt{n} }  would decrease because as denominator increases; the whole fraction decreases.

(D) We are given that to estimate the proportion of students who purchase their textbooks used, 500 students were sampled. 210 of these students purchased used textbooks.

Firstly, the pivotal quantity for finding the 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 students who purchase their used textbooks = \frac{210}{500} = 0.42    

            n = sample of students = 500

            p = population proportion

<em>Here for constructing a 99% confidence interval we have used a One-sample z-test statistics for proportions</em>

<u>So, 99% confidence interval for the population proportion, p is ; </u>

P(-2.58 < N(0,1) < 2.58) = 0.99  {As the critical value of z at 0.5%

                                               level of significance are -2.58 & 2.58}  

P(-2.58 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 2.58) = 0.99

P( -2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.99

P( \hat p-2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.99

<u> 99% confidence interval for</u> p = [ \hat p-2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ]

= [ 0.42 -2.58 \times {\sqrt{\frac{0.42(1-0.42)}{500} } } , 0.42 +2.58 \times {\sqrt{\frac{0.42(1-0.42)}{500} } } ]

= [0.363, 0.477]

Therefore, a 99% confidence interval for the proportion of students who purchase used textbooks is [0.363, 0.477]  .

8 0
3 years ago
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