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Step2247 [10]
3 years ago
6

The table below gives percent of flights that were delayed and on time during good and bad weather. Good weather Bad Weather Del

ayed 7.5% 17.5% On Time 42.5% 32.5% Given these percentages, during bad weather, is it more likely that your flight will be delayed or on time? How much more likely? It is 30% more likely to be delayed. It is 15% more likely to be delayed. It is 30% more likely to be on time. It is 15% more likely to be on time.
Mathematics
2 answers:
Pani-rosa [81]3 years ago
7 0
The answer would be: It is 15% more likely to be delayed.
<span>
The table should look like this:
              Good weather Bad Weather
Delayed 7.5%                17.5%
On Time 42.5%             32.5% 

The question is asking whether the probability when "bad weather" and "on time" more likely than "On time". So, you need to find the difference between them. The calculation would be:32.5%- 17.5%= 15%</span>
Maurinko [17]3 years ago
3 0

Answer:

The correct answer is 30% likely to be on time

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Do these two expressions represent equivalent
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The answer is letter E.

Step-by-step explanation:

If you divide the whole numbers by the fractional equivalent to the power of 0, then you would come to the conclusion that the answer cannot be "expressions", but can only be E.

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3 years ago
In a Pew Research Center poll of 745 randomly selected adults, 589 said that it is morally wrong to not report all income on tax
Nikolay [14]

Answer:

a

 

   The  null hypothesis is  H_o  :  p =  0.75

  The  alternative  hypothesis is  H_a  :  p \ne  0.75

b

   t = 2.51

c

   p-value  =  0.01207

d

 There no sufficient evidence to conclude that 75% of adults say that it is morally wrong to not report all income on tax returns

Step-by-step explanation:

From the question we are told that

    The  sample  size is  n  =  745

     The  number that said it is morally wrong is  k  =  589

       The  level of significance is  \alpha =  0.01

        The population proportion is p  =  0.75

Generally the sample  proportion is mathematically represented as

        \r p  =  \frac{k}{n}

=>     \r p  =  \frac{589}{745}

=>     \r p  =  0.79

 The  null hypothesis is  H_o  :  p =  0.75

  The  alternative  hypothesis is  H_a  :  p \ne  0.75

The  standard error is mathematically represented as

     SE =  \sqrt{\frac{p(1-p)}{n} }

=>    SE =  \sqrt{\frac{0.75(1-0.75)}{745} }

=>    SE  =0.0159

Generally the test statistics is mathematically represented as

      t =  \frac{\r p - p }{SE}

=>   t =  \frac{0.79 - 0.75 }{0.0159}

=>    t = 2.51

Generally the p-value is  mathematically represented as

        p-value  =  2 * P(Z >  2.51)

From the the z-table  

            P(Z >  2.51) = 0.0060366

=>   p-value  =  2 * 0.0060366

=>   p-value  =  0.01207

From the calculation  p-value >\alpha

    Hence we fail to reject the null hypothesis

Thus there no sufficient evidence to conclude that 75% of adults say that it is morally wrong to not report all income on tax returns

     

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Step-by-step explanation:

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