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aksik [14]
3 years ago
7

I need help with this problem

Mathematics
1 answer:
cupoosta [38]3 years ago
7 0
\bf \begin{cases}
(n^4)^p=n^{12}\to &n^{4\cdot p}=n^{12}\to 4p=12
\\
&\qquad \uparrow \\
&\textit{same bases, thus}\\
&\qquad \downarrow 
\\
n^3\cdot n^q=n^6\to &n^{3+q}=n^6\to 3+q=6
\end{cases}
\\\\\\
thus\implies 
\begin{cases}
4p=12\implies p=\frac{12}{4}
\\\\
3+q=6\implies q=6-3
\end{cases}
\\\\

\\\\
then\implies p\cdot q=\boxed{?}
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aii)  P(2.65 \le \= X  \le 3.00) =  0.480  

b )   n  =  32

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From the question we are told that  

     The mean is  \mu =  2.65

      The standard deviation is \sigma  =  0.85

Let the random  sediment density be  X

given that the  sediment density is normally distributed it implies that

      X  N(2.65 ,  0.85)

Now  probability that the sample average is  at 3.0 is mathematically represented as

        P(\= X \le 3.0 ) = P[\frac{\= X - \mu} {\frac{\sigma }{\sqrt{n} } } \le \frac{3.0 - \mu}{\frac{ \sigma}{\sqrt{n} } }  ]

Here n is the sample  size  = 25 and  \= X is the sample  mean  

  Now  Generally the  Z-value is obtained using this  formula  

           Z = \frac{\= X - \mu} {\frac{\sigma }{\sqrt{n} } }

Thus  

       P(\= X \le 3.0 ) = P[Z \le \frac{3.0 - 2.35}{\frac{ 0.85}{\sqrt{25} } }  ]

      P(\= X \le 3.0 ) = P[Z \le 2.06 ]

From the z-table the z-score is 0.980

 Thus  

       P(\= X \le 3.0 ) =0.980

Now  probability that the sample average is between 2.65 and 3.00  is  mathematically evaluated as

           P(2.65 \le \= X  \le 3.00) =  P [\frac{2.65 - \mu }{ \frac{\sigma }{\sqrt{n} } } < \frac{\= X - \mu }{ \frac{\sigma }{\sqrt{n} } }  <   \frac{3.0 - \mu }{ \frac{\sigma }{\sqrt{n} } }]  

          P(2.65 \le \= X  \le 3.00) =  P [\frac{2.65 - 2.65 }{ \frac{0.85 }{\sqrt{25} } }

         P(2.65 \le \= X  \le 3.00) = P[0 < Z< 2.06]    

       P(2.65 \le \= X  \le 3.00) =  P(Z < 2.06) - P(Z    

From the z-table  

        P(2.65 \le \= X  \le 3.00) =  0.980 - 0.50    

        P(2.65 \le \= X  \le 3.00) =  0.480  

Now  from the question  

         P(\= X \le 3.0 ) =0.99

=>       P(\= X \le 3.0 ) = P[Z \le \frac{3.0 - 2.35}{\frac{ 0.85}{\sqrt{n} } }  ] = 0.99

Generally the critical value of  z  for a one tail test such as the one we are treating that is  under the area  0.99  is  t_z  = 2.33 this is obtained from the critical value table  

So  

        t_z  = \frac{3.0 - 2.35}{\frac{ 0.85}{\sqrt{n} } }

        2.33  = \frac{3.0 - 2.35}{\frac{ 0.85}{\sqrt{n} } }

=>       n  =  32

4 0
3 years ago
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