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aleksandr82 [10.1K]
4 years ago
15

F(x) = x3 If x = −2, y = If x = −1, y = If x = 0, y =

Mathematics
2 answers:
qaws [65]4 years ago
4 0

Answer:

If\: x = 0, y = 0

If\: x = -1, y = -1

If\: x = -2, y = -8

Step-by-step explanation:

0 = {0}^{3} \\ -1 = {-1}^{3} \: or \: [-1]^{3} \\ -8 = {-2}^{3} \: or \: [-2]^{3}

I am joyous to assist you anytime.

NISA [10]4 years ago
3 0

Answer: If x = −2, y =-8    ; If x = −1, y =-1 ; If x = 0, y =0

Step-by-step explanation:

Hi, to obtain the values of the variable y in each case, we have to replace the variable x for the value given and solve.

So;

f(x) = x3

f(-2) = (-2)³= -8

f(-1) = (-1)³= -1

f(0) = (0)³=0

In conclusion, If x = −2, y =-8 ; If x = −1, y =-1 ; If x = 0, y =0.

Feel free to ask for more if it´s necessary or if you did not understand something.

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Answer:

a

        The population parameter of interest is the true proportion of Greek who are suffering

    While the point estimate of this parameter is  proportion of those that would rate their lives poorly enough to be considered "suffering". which is 25%  

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      If the confidence level is increased which will in turn reduce the level of significance but increase the critical value(Z_{\frac{\alpha }{2} }) and this will increase the margin of error( deduced from  the formula for margin of error i.e  E \ \alpha \  Z_{\frac{\alpha }{2} } ) which will make the confidence interval wider

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  Looking at the formula for margin of error if the we see that if the  sample size is increased the margin of error will reduce making the  confidence level narrower

Step-by-step explanation:

From the question we are told that

    The sample size is  n  =  1000

     The  population proportion is  \r p  = 0.25

     

Considering question a

   The population parameter of interest is the true proportion of Greek who are suffering

    While the point estimate of this parameter is  proportion of those that would rate their lives poorly enough to be considered "suffering". which is 25%  

Considering question b

The condition for constructing a confidence interval is

        n *  \r p >  5\  and  \   n(1 - \r p ) >5

So  

        1000 *  0.25 > 5 \  and \  1000 * (1-0.25 ) > 5

         250  > 5 \  and \  750> 5

Hence the condition  is met

Considering question c

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

          \alpha  =  100 - 95    

          \alpha  =  5 \%

          \alpha  =  0.05

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

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

Generally the margin of error is mathematically represented as

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

substituting values

         E =  1.96  *  \sqrt{ \frac{ 0.25 (1 - 0.25 ) }{ 1000} }

         E =  0.027

The  95% confidence interval is mathematically represented as

            \r p  - E  <  p  <  \r p  + E

substituting values  

           0.25 -  0.027  <  p  < 0.25 + 0.027

substituting values

           0.223 <  p  < 0.277

considering d

  If the confidence level is increased which will in turn reduce the level of significance but increase the critical value(Z_{\frac{\alpha }{2} }) and this will increase the margin of error( deduced from  the formula for margin of error i.e  E \ \alpha \  Z_{\frac{\alpha }{2} } ) which will make the confidence interval wider

considering e

     Looking at the formula for margin of error if the we see that if the  sample size is increased the margin of error will reduce making the  confidence level narrower

   

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