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tweb28 tweb28
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A year ago
It can be shown that

\(\style{font-family:Times New Roman;}{\mu_{{\widehat p}_1-{\widehat p}_2}=P_1-P_2}\)

This means:



\(\style{font-family:Times New Roman;}{{\widehat p}_1-{\widehat p}_2}\)is the same thing as\(\style{font-family:Times New Roman;}{P_1-P_2}\).



\(\style{font-family:Times New Roman;}\mu\)is unbiased for\(\style{font-family:Times New Roman;}{P_1-P_2}\).



\(\style{font-family:Times New Roman;}{{\widehat p}_1-{\widehat p}_2}\)is unbiased for\(\style{font-family:Times New Roman;}{P_1-P_2}\).



\(\style{font-family:Times New Roman;}{P_1-P_2}\)is used to estimate\(\style{font-family:Times New Roman;}{{\widehat p}_1-{\widehat p}_2}\).

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
Author:
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chemcalchemcal
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A year ago
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tweb28 Author
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A year ago
Brilliant
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Yesterday
Thanks for your help!!
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2 hours ago
Good timing, thanks!
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