Math 300 , Spring 2002, Day36, F, April 26 Hit reload to get most current versionAfter Class

Two random variables X, Y "jointly distributed".  Ash Ch. 5.  First 5.1 and 5.2
In practice: Two random variables X, Y  measured on the same experiment.
Sample space:  points in x-y space.
   Probability of a region:  sum or integrate over the region.
"Marginal" probability/density function:
      Function for just X (not "looking at" y):   pX(x) or fX(x)
                    or just Y (not "looking at" y):   pY(x) or fY(y) .
X and Y INDEPENDENT:  p(x, y) =  pX(x)pY(y),  f(x,y) = fX(x) fY(y) for every pair (x,y)
 

Continuous (p. 171 ff + Probability Handout) Joint density function f(x, y)--a surface above the base x-y space.
    Probability of a region R  in x-y space= area under f(x,y) and above the region.
The total probability (area) has to = 1.

Integrals:

In the inner integral, the "other" variable acts like a constant.  Try it with g(x,y) = y,  0<x<4, 0<y<3

Find area under the curve: Dividing g by this will give a function with area 1.  Let f(x,y) = Cg(x,y) = Cy as above.C = 1/18
Monday: Find P( X+Y<4) by integration.     Find the marginal distributions:
fY(y) = 2y/9, 0<y<3
Should have found for hw that fX(x)= 1/4, 0<x<4.
Are X and Y independent?  Check.
NOTE:  X and Y canNOT be independent unless their joint support (region where p or f is Not 0) ("universe") is rectangular!

Separable joint densities (p. 185-6)  X and Y are independent If and Only If:
 The universe is rectangular, and f(x,y) can be written as (a function only of x) times (a function only of y).
Factoring the constant part of f(x,y) so the right amounts attach to the x-function --to give a legal fX(x), and to the y function--to give a legal fY(y)--can always be done.  Example: Prob. handout p. 2 # 19 factors to two exponentials.

3-dimensional graphs of HW problems:  In Macmillan 110, Machine "Black" (and "Gray" if I can get to it.)
Class Material Folder, Math 300.  Open Read Me file, read what to do.
DPGraph images.  Double click?  Or open DPGraph Viewer.
   Turn image around with arrow keys, shrink/stretch with PageDown/ PageUp.  Scrollbar menu item, slice x, y, or z, then use right scrollbar to move slice.

Back to Expected value (Ash ch. 7):  (law of the unconscious statistician again:)
 You can find E(X) just from f(x), or from f(x,y).  You can find E(XY) only from f(x,y) (unless X and Y are indep.)
  You can find E(X+Y) from f(x,y), or by finding E(X) +E(Y).  These things work because of the rules of iterated integration, where the variable not being integrated acts like a constant for the moment.  Reread Ch. 7-1, the parts with integration.
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HW:
Handout on Probability(p. 2),#17 Finish, #18 do b, #19 do b : Finish or do.  All are in DPGraph files to be viewed.(the z axis is distorted to get a better picture.)
Ash p. 181, #2a finish it.  (Hint--p. 164 has pictures for min and max--but in my book the text refers to the wrong pictures (the captions are right)
p. 191, #5.  If they are independent, find the marginals.  Sketch the regions where f is positive, before bothering to look for the marginals.  #9
   Since people are not handing in much anyhow, if you do the above, hang on to the ones from the probability handout to use as reference in the following problems.

Rest postponed:
Expected values:  Ash p. 222 #4.
Probability handout:
   For the density of problem #17, find E(XY), and E(Y/X).
   #18 c (You found the marginals last time.  Use them to find the E's)
   #19 c (do it by noting the form of the densities of X, and Y, and appealing to your list of means for known distributions)


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