Option 3
t = { (xbar - x2 bar) - D0 } / {sp * {(1/n1)+(1/n2)}}
Since here we are assuming population variances are same, we use standard deviation
Sp ={ (n1-1) * s1^2 + (n2-1)*s2^2 }/(n1 + n2 - 2)
Here the population standard deviation is unknown hence,
t = (xbar - x2 bar) / sp * {(1/n1)+(1/n2)}
will follow t distribution with
degrees of freedom n1 + n2 - 2
Question 1 1 pts Two training procedures are compared by measuring the time that it takes...
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