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Marrrta [24]
4 years ago
11

Unsure of how to solve this problem. Please help.

Mathematics
1 answer:
mote1985 [20]4 years ago
7 0

1 YEAR = 365 days

365 days * 24 hours = 8760 hours

8760 hours * 60 minutes = 525,600 minutes

=> 1 year has 525,600 minutes

now take 2,720,000 miles / 525,600 minutes = 5.17 miles per minutes


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How many solutions does this equation have -10x+3=5x-27
Alex777 [14]
2 solutions for this one
7 0
4 years ago
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
A meat inspector has randomly selected 30 packs of 95% lean beef. The sample resulted in a mean of 96.2% with a sample standard
kirza4 [7]

Answer:

a

 The upper bound of the 99% prediction level is 98.2  

b

 The  95% confidence interval is 9.7383 <  \mu < 10.2617

Step-by-step explanation:

Considering first question

From the question we are told that

   The sample size is  n  =  30  

   The sample mean is  \= x  =  96.2\%

   The standard deviation is s  = 0.8\%

Generally the degree of freedom is mathematically represented as

        df  =  n - 1

=>      df  =  30 - 1

=>      df  =  29

From the question we are told the confidence level is  99% , hence the level of significance is    

      \alpha = (100 - 99 ) \%

=>   \alpha = 0.01

Generally from the t distribution table the critical value  of   at a degree of freedom of is  

   t_{\alpha , 29} = 2.462

Generally the  99%  prediction level is mathematically represented as

      \= x \pm [(t_{\alpha  , df }) * s * (\sqrt{1 + \frac{1}{ n} } )}]

Generally the upper bound of the 99%  prediction level is mathematically represented as

      \= x + [(t_{\alpha  , df }) * s * (\sqrt{1 + \frac{1}{ n} } )}]  

=>    96.2 + (2.462 ) * 0.8 * (\sqrt{1 + \frac{1}{ 30} } )}]  

=>    98.2  

Considering second question

 Generally the sample is mathematically represented as

             \= x  = \frac{\sum x_i}{n}

=>           \= x  = \frac{ 9.8 + 10.2 + \cdots +9.6 }{7}  

=>           \= x  =  10    

Generally the standard deviation  is mathematically represented as

           \sigma =  \sqrt{ \frac{ \sum ( x_ i - \= x)}{n-1} }

=>        \sigma =  \sqrt{ \frac{ ( 9.8  -10)^2 +  ( 10.2  -10)^2 + \cdots + ( 9.6  -10)^2  }{7-1} }

=>        \sigma = 0.283

Generally the degree of freedom is mathematically represented as

      df =  n- 1

=>    df =  7- 1

=>    df =  6

From the question we are told the confidence level is  95% , hence the level of significance is    

      \alpha = (100 - 95 ) \%

=>   \alpha = 0.05

Generally from the t distribution table the critical value  of   at a degree of freedom of  is  

   t_{\frac{\alpha }{2} , 6 } =  2.447

Generally the margin of error is mathematically represented as  

      E = t_{\frac{\alpha }{2} , 6 } *  \frac{\sigma }{\sqrt{n} }

=>    E =2.447*    \frac{0.283 }{\sqrt{7} }

=>    E =0.2617

Generally 95% confidence interval is mathematically represented as  

      \= x -E <  \mu <  \=x  +E

=>   10 -0.2617 <  \mu < 10 + 0.2617

=>   9.7383 <  \mu < 10.2617

7 0
3 years ago
What fraction does point A represent
Juliette [100K]

Answer:

Are there any options?  If so then, I say <u><em>C</em></u>

Step-by-step explanation:

<u><em> I really hope this helped! °ω°</em></u>

3 0
2 years ago
What is 6,312 divided by 8
Oksana_A [137]
The answer would be 789
6 0
4 years ago
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