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Svetach [21]
3 years ago
5

Guided Practice

Mathematics
1 answer:
Nat2105 [25]3 years ago
6 0

Answer:

C.

the number of cans of soda Amy orders

Step-by-step explanation:

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Can you please help me with this question with the steps? <br> 8a^3 -2a^2+ 12a-3
KATRIN_1 [288]

I'm assuming you want to simplify the expression since it's not equal to anything.. you can't solve for "a" unless it's equal to something.

factor

8a³ - 2a²+ 12a - 3

2a²(4a - 1) + 3(4a -1)

 (4a - 1) is a like term that can be combined further.

(2a² + 3)(4a - 1)


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4 years ago
What is the volume of a cube with 1/2 inch sides
Studentka2010 [4]
What is the formula for calculating the volume of a cube?

V = s x s x s where s = the length of a side

V = .5 x.5 x.5 = .125
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3 years ago
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Each person in the United States eats about 65 fresh apples a year based on this estimate. How many apples do 3 families of 4 ea
galina1969 [7]
Multiply 3 times 4 which gives you 12 then multiply that by 65 and your answer is 780
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The amount of money spent on textbooks per year for students is approximately normal.
Ostrovityanka [42]

Answer:a

a

   336.04    <  \mu < 443.96

b

  The  margin of error will increase

c

The  margin of error will decreases

d

The 99% confidence interval is  0.4107 <  p  < 0.4293

Step-by-step explanation:

From the question we are  told that

   The sample size  n =  19

    The sample mean is  \= x  = \$\  390

    The  standard deviation is  \sigma =  \$ \  120

 

Given that the confidence level is  95% then the level of significance is mathematically represented as

           \alpha = 100 -  95

          \alpha  =  5 \%

          \alpha  =  0.05

Next we obtain the critical value of \frac{\alpha }{2} from the normal distribution table

    So  

         Z_{\frac{\alpha }{2} } =  1.96

The  margin of error is mathematically represented as

      E =  Z_{\frac{\alpha }{2} } *  \frac{\sigma}{\sqrt{n} }

=>    E = 1.96 *  \frac{120}{\sqrt{19} }

=>   E = 53.96

The 95% confidence interval is  

     \= x  -  E  <  \mu < \= x  +  E

=>   390  -   53.96   <  \mu < 390  -   53.96

=>  336.04    <  \mu < 443.96

When the confidence level increases the Z_{\frac{\alpha }{2} } also increases which increases the margin of error hence the confidence level becomes wider

Generally the sample size mathematically varies with margin of error as follows

         n  \  \ \alpha  \ \  \frac{1}{E^2 }

So if the sample size increases the margin of error decrease

The  sample proportion is mathematically represented as

       \r p  =  \frac{210}{500}

       \r p  = 0.42

Given that the confidence level is 0.99 the level of significance is  \alpha =  0.01

The critical value of \frac{\alpha }{2} from the normal distribution table is  

      Z_{\frac{\alpha }{2} }  =  2.58

  Generally the margin of error is mathematically represented as

       E =  Z_{\frac{\alpha }{2} }*  \sqrt{ \frac{\r p (1- \r p )}{n} }

=>   E =  0.42 *  \sqrt{ \frac{0.42 (1- 0.42 )}{ 500} }

=>     E =  0.0093

The 99% confidence interval  is

     \r p  -  E <  p  < \r p  +  E

     0.42  -  0.0093 <  p  < 0.42  +  0.0093

     0.4107 <  p  < 0.4293

 

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14 is 70% of what number
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Move the decimal to the left where 70% becomes (.70). Then divide 14/.70 which equals 20.
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