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primewire primewire
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A year ago
The estimator\(\style{font-family:Times New Roman;}{{\overline X}_1-{\overline X}_2}\)is unbiased for the parameter\(\style{font-family:Times New Roman;}{\mu_1-\mu_2}\). This means that:


\(\style{font-family:Times New Roman;}{{\overline X}_1={\overline X}_2}\).



\(\style{font-family:Times New Roman;}{E\left({\overline X}_1-{\overline X}_2\right)=\mu_1-\mu_2=0}\).



The value\(\style{font-family:Times New Roman;}{{\overline X}_1-{\overline X}_2}\)will always be the same as the value\(\style{font-family:Times New Roman;}{\mu_1-\mu_2}\).



\(\style{font-family:Times New Roman;}{E\left({\overline X}_1-{\overline X}_2\right)=\mu_1-\mu_2}\).

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
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WoodyNRexWoodyNRex
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primewire Author
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