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joja [24]
4 years ago
7

Hi there! Please, please help me on these problems! And show how to do it, thanks!!

Mathematics
1 answer:
yan [13]4 years ago
8 0
1). 8 x 5x - 8 x 3y
     40x - 24y

you have to multiply the eight inside the parentheses 
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A spherical fish bowl is half-filled with water. The center of the bowl is C, and the length of segment AB is 20 inches, as show
aleksandrvk [35]
I found the picture of the bowl.

AB is the diameter of the sphere.

So the radius is 20in / 2 = 10 in

And the volume of water is half the volume of the sphere.

=> V of water = (1/2)* (4/3) π (r^3)

Also, this problems asks to use 22/7 as approximation of π.

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Answer: (1/2)(4/3)(22/7)(10in)^3 = 2,095 in^3
3 0
3 years ago
To estimate the mean height μ of male students on your campus, you will measure an SRS of students. You know from government dat
denis-greek [22]

Answer:

a) The standard deviation of x must be 0.25 inches.

b) We need a sample of 125 to reduce the standard deviation of x⎯⎯⎯ to the value you found in part(a).

Step-by-step explanation:

The 68-95-99.7 states that:

68% percent of the measures of a normally distributed sample are within 1 standard deviation of the mean.

95% percent of the measures of a normally distributed sample are within 2 standard deviations of the mean.

99.7% percent of the measures of a normally distributed sample are within 3 standard deviations of the mean.

The standard deviation of the population is 2.8. This means that \sigma = 2.8.

(a) What standard deviation must x⎯⎯⎯ have so that 95% of all samples give an x⎯⎯⎯ within one-half inch of μ?

We want to have a sample in which 2 standard deviations are within 0.5 inches of the mean.

So, the standard deviation of the sample must be:

2s = 0.5

s = 0.25

The standard deviation of x must be 0.25 inches.

(b) How large an SRS do you need to reduce the standard deviation of x⎯⎯⎯ to the value you found in part(a)?

We have that the standard deviation of a sample of length n is given by the following formula:

s = \frac{\sigma}{\sqrt{n}}.

We want s = 0.25 and we have \sigma = 2.8. So

0.25 = \frac{2.8}{\sqrt{n}}

0.25\sqrt{n} = 2.8

\sqrt{n} = 11.2

\sqrt{n}^{2} = (11.2)^{2}

n = 125.44

We need a sample of 125 to reduce the standard deviation of x⎯⎯⎯ to the value you found in part(a).

8 0
4 years ago
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