A pit crew claims that its mean pit stop time (for 4 new tires and fuel) during an auto race is different than 13 seconds. A random sample of 40 pit stop times has a sample mean of 12.9 seconds and a population standard deviation of 0.3 second. Let α = 1%. a) The parameter of interest is       ["", "", "", ""] population of pit crwe, propotion of pit crew in auto races, population mean pit stop time, population auto races b) The null hypothesis  :  is        ["", "", "", ""]  and the alternative hypothesis :   c) The observed value is       ["", "", "", ""]  .

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A pit crew claims that its mean pit stop time (for 4 new tires and fuel) during an auto race is different than 13 seconds. A random sample of 40 pit stop times has a sample mean of 12.9 seconds and a population standard deviation of 0.3 second. Let α = 1%.

a) The parameter of interest is       ["", "", "", ""] population of pit crwe, propotion of pit crew in auto races, population mean pit stop time, population auto races

b) The null hypothesis  :  is        ["", "", "", ""]  and the alternative hypothesis :  

c) The observed value is       ["", "", "", ""]  .

d) The researcher can reject the null for <       ["", "", "", ""]  and  >      ["", "", "", ""]  .

e)  type I error       ["", "", "", ""] 

f) The probability of observing a value more extreme than already observed in the direction of the alternative is        ["", "", "", ""] 

g) Result:        ["", "", "", ""]   

A pit crew claims that its mean pit stop time (for 4 new tires and fuel) during an auto race is different than 13 seconds. A random sample of 40 pit stop times has a sample mean of 12.9 seconds and a population standard deviation of 0.3 second. Let α = 1%.

a) The parameter of interest is       ["", "", "", ""] 

b) The null hypothesis  :  is        ["", "", "", ""]  and the alternative hypothesis :  

c) The observed value is       ["", "", "", ""]  .

d) The researcher can reject the null for <       ["", "", "", ""]  and  >      ["", "", "", ""]  .

e)  type I error       ["", "", "", ""] 

f) The probability of observing a value more extreme than already observed in the direction of the alternative is        ["", "", "", ""] 

g) Result:        ["", "", "", ""]   choices:

since the pvalue is the significant level we do not have sufficient evidence to say the mean pit stop time is different from claimed,    since the the observed value is 13 we have sufficient evidence to say the mean pit stop time is different from claimed,   since the p-value 15 < the observed we have sufficient to say the mean pit stop time is different from claimed,   since the pvalue is the significant level we have sufficient evidence to say the mean pit stop time is different from claimed
 
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