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pogonyaev
3 years ago
7

Can you please show work​

Mathematics
2 answers:
stepan [7]3 years ago
6 0

Answer:

A) 3.44 ft²

Step-by-step explanation:

before cutouts, the area was 4 x 4 = 16 ft²

the circles have a diameter of 2 ft each, and a radius of 1 ft

each circle has an area pf (3.14)(1²) = 3.14 ft²

3.14 x 4 = 12.56 ft²

16 - 12.56 = 3.44 ft² left

aleksley [76]3 years ago
5 0

Answer:area of 4 equal circle having

Diameter =2ft

Therefore radius =r=2/2=1ft

Area of 4 equal circle =4(πr²) =4π×1²=4πft²

Area of square=length²=4²=16

Area of shaded region =area of square-

area of 4 equal circle

=16-4π=3.43362938564ft²

Step-by-step explanation:

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3 years ago
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3 years ago
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The ages of a random sample of five university professors are 39, 54, 61, 72, and 59. Using this information, find a 99% confide
kondor19780726 [428]

Answer:

99% confidence interval for the population standard deviation = (74.97 , 635.20).

Step-by-step explanation:

We are given that the ages of a random sample of five university professors are 39, 54, 61, 72 and 59. Also, it is provided that the ages of university professors are normally distributed.

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         P.Q. = \frac{(n-1)s^{2} }{\sigma^{2} } ~ \chi^{2} __n_-_1

where, s = sample standard deviation

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P(0.2070 < \chi^{2} __5_-_1 < 14.86) = 0.99 {As the table of \chi^{2} at 4 degree of freedom

                                                      gives critical values of 0.2070 & 14.86}

P(0.2070 < \frac{(n-1)s^{2} }{\sigma^{2} } < 14.86) = 0.99

P( \frac{ 0.2070}{(n-1)s^{2} } < \frac{1 }{\sigma^{2} } < \frac{ 14.86}{(n-1)s^{2} } ) = 0.99

P(\frac{ (n-1)s^{2}}{14.86 } < \sigma^{2} < \frac{ (n-1)s^{2}}{0.2070 } ) = 0.99

99% confidence interval for \sigma^{2} = ( \frac{ (n-1)s^{2}}{14.86 } , \frac{ (n-1)s^{2}}{0.2070 } )

                                                   = ( \frac{ (5-1) \times 144.5^{2}}{14.86 } , \frac{ (5-1) \times 144.5^{2}}{0.2070 } )

                                                   = (5620.525 , 403483.092)

99% confidence interval for \sigma = ( \sqrt{5620.525} , \sqrt{403483.092} )

                                                  = (74.97 , 635.20)

Therefore, 99% confidence interval for the population standard deviation of the ages of all professors at the university is (74.97 , 635.20).

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