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bigben0007 bigben0007
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A year ago
\(\style{font-family:Times New Roman;}{E\left(\overline D\right)=\mu_1-\mu_2}\)

This means that:



the exponential distribution with parameterDis a good model for estimating\(\style{font-family:Times New Roman;}{\mu_1-\mu_2}\).



the random variable\(\style{font-family:Times New Roman;}{\overline D}\)is an unbiased estimator of the parameter\(\style{font-family:Times New Roman;}{\mu_1-\mu_2}\).



\(\style{font-family:Times New Roman;}{\overline D=\mu_1-\mu_2}\).



the differences will always sum to equal the quantity\(\style{font-family:Times New Roman;}{\mu_1-\mu_2}\).

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
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silvermoon197silvermoon197
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bigben0007 Author
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