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Unformatted text preview: ⎜ 9/21/2010 HW.backwardsZ.CI.&KEY Page 1 hw.backwardsZ.CI.&KEY.doc Backwards Z, CI Revised 09/20/10 FOR ALL HOMEWORK.  IF MORE THAN ONE PAGE, THEY MUST BE STAPLED. OTHERWISE, NO CREDIT.  NO RIPPED-OUT EDGES OF PAPER – ALL EDGES MUST BE SMOOTH FOR CREDIT.  SHOW ALL WORK, INCLUDING FORMULAS WITHOUT NUMBERS, USING SYMBOLS.  TURN IN **BEFORE YOU SIT DOWN** EVEN IF I’M LECTURING. OTHERWISE NO CREDIT.  UPPER RIGHT CORNER MUST HAVE YOUR CLASS ID _ Suppose all the X (using samples of size 25) from a population distribution could be collected into their own distribution, wh _ ere they would be normally distributed with a mean of 20 and a variance of 16/25 ⎛ σ 2 ⎞ which means X distribution .) ∼ N ⎝ μ , n _ ⎟ . (It is therefore also true that X ∼ N( μ,σ 2 ) which is the population ⎠ #1. Looking at all possible Xs in this s _ ampling distribution, about 96.99% of them will exceed some number y. Another way to state this is: P(X > y) = 0.9699. Show work (including formulas without numbers) iny....
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This note was uploaded on 01/19/2012 for the course GEOL 123 taught by Professor Kim during the Winter '11 term at Bowling Green.
- Winter '11