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Ludmilka [50]
3 years ago
11

efore the overtime rule in a football league was​ changed, among 400 overtime​ games, 194 were won by the team that won the coin

toss at the beginning of overtime. Using a 0.10 significance​ level, use the sign test to test the claim that the coin toss is fair in the sense that neither team has an advantage by winning it. Does the coin toss appear to be​ fair?4
Mathematics
1 answer:
jeyben [28]3 years ago
5 0

Answer:

The coin toss does not appear to be  fair

Step-by-step explanation:

 From the question we are told that

     The  sample size is  n  =  400

      The number of game won by team that won the coin toss at the beginning of overtime  x =  194

     The level of significance is  \alpha  =  0.10

The population proportion  is  evaluated as  

                  p  =  \frac{194}{400}

                 p  =  0.485

Since the population proportion is  0.485 \approx 0.5 which implies that the coin toss is  fair then

The Null hypothesis is  

         H_o  :  p = 0.485

and  The Alternative hypothesis is  

        H_a  :  p \ne  0.485

The test statistics is evaluated as follows

         t  = \frac{[x  + p] - [\frac{n}{2} ]}{\frac{\sqrt{n} }{2} }

substituting values  

         t  = \frac{[194  + 0.485] - [\frac{400}{2} ]}{\frac{\sqrt{400} }{2} }

         t  = -0.5515

=>     |t| =  0.5515

now the critical value of  \alpha for a two tail test(it is two tailed because we are test whether the critical value is  less than or greater than the test statistics ) is  

         t_{\alpha } = 1.645

This is usually found from the critical value table  

     Now comparing the critical values and the calculated test statistics we see that the critical value is greater than the test statistics hence the Null hypothesis is  rejected

   This  means that the coin toss is not fair  

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