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aleksklad [387]
3 years ago
10

Check my answer :D

Mathematics
2 answers:
Dimas [21]3 years ago
7 0
Hello,
your answer should be true if you put parenthesis!

=1/2[log base 9(57)-log base9 (74)]
=1/2 log base 9 (57)-1/2 log base 9(74)




LuckyWell [14K]3 years ago
4 0

Answer:

Yes the answer is correct explained in step-by-step explaination.

Step-by-step explanation:

Given the logarithmic expression

log(base b)square root 57/74

\log_{b}\frac{\sqrt57}{74}

Now we know that \log \frac{m}{n} =\log m-\log n\\\log x^{\frac{1}{2} } =\frac{1}{2}\log x

Hence, log _{b}\sqrt57=\frac{1}{2}log _{b}57

∴log_{b}\frac{\sqrt57 }{74}=log_{b}{\sqrt57 }-log_{b}{54}  

\frac{1}{2}log_{b}57-log_{b}54

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Step-by-step explanation:

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I guess you mean:

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8 0
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Read 2 more answers
Assume that you plan to use a significance level of α = 0.05 to test the claim that p1 = p2. Use the given sample sizes and numb
dezoksy [38]

Answer:

The calculated  value Z = 3.775 > 1.96 at 0.05 level of significance

Null hypothesis is rejected

The Two Population proportion are not equal

<u>Step-by-step explanation</u>:

<em>Given first sample size n₁ = 677</em>

<em>First sample proportion </em>

<em>                              </em>p^{-} _{1} = \frac{x_{1} }{n_{1} } = \frac{172}{677} = 0.254<em></em>

Given second sample size n₂ = 3377

<em>second sample proportion </em>

<em>                              </em>p^{-} _{2} = \frac{x_{2} }{n_{2} } = \frac{654}{3377} = 0.1936<em></em>

<u><em>Null Hypothesis : H₀ :</em></u><em>  p₁ = p₂.</em>

<u><em>Alternative Hypothesis : H₁</em></u><em> :  p₁ ≠ p₂.</em>

      Test statistic

                Z = \frac{p_{1} ^{-}-p^{-} _{2}  }{\sqrt{P Q(\frac{1}{n_{1} } +\frac{1}{n_{2} }) } }

where

        P = \frac{n_{1} p_{1} + n_{2} p_{2}  }{n_{1}+n_{2}  } = \frac{677 X 0.254+3377 X 0.1936}{677+3377}

       P =  0.2036

      Q = 1 - P = 1 - 0.2036 = 0.7964

       

         Z = \frac{0.254- 0.1936 }{\sqrt{0.2036 X 0.7964(\frac{1}{677 } +\frac{1}{3377 }) } }

        Z =  3.775

<em>Critical value ∝=0.05</em>

<em>Z- value = 1.96</em>

<em>The calculated  value Z = 3.775 > 1.96 at 0.05 level of significance</em>

<em>Null hypothesis is rejected </em>

<em>The Two Population proportion are not equal</em>

<em></em>

3 0
3 years ago
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