Math 300 , Spring 2004, Day35, W, April 28 Hit reload.....After 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.
HW questions?
"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(y) or fY(x) .
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 HW:  Found P( X+Y<4) by integration.
 Find the marginal distributions:  Discrete:
    pX(x) = sum p(x,y)  down over all the y's,    pY(y) = sum p(x,y) across over all the x's.
 Day 34 graph.  Are X and Y independent?  Check.
  (Discrete handout:  Sometimes careful algebra can give formulas for marginals, from a formula p(x,y).)
Continuous:
In class: fY(y) = 2y/9, 0<y<3
Should find 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: Download DPGraph from source or from my site . In Macmillan 110, Machine "Green" (I'll try for its neighbors.)  Easier?  Copy InstallDPGraph, For 300 Class folder, Readme file to your disk.
Class Material Folder/ Math 300/ DPGraph Lab 04/.  Open DPGraph Read Me 04 file, read what to do.  It should run ok from in there; if not, install it and get it from the Program menu. Files for HW in For 300 Class folder (Clicking on a data file won't find the program unless it's in the Program menu, but you can open any data file from within the running program.) Backup folder contains copy of everything.
DPGraph images.  Double click?  Or start DPGraph and open from within.
   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.  Show x(1+y)andx+y=1.dpg

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.

Find E(XY) for f(x,y) = y,  0<x<4, 0<y<3.   oS3oS4 xyy/18 dxdy = (1/18) oS 3 [(1/2) x2y2 x=o]4dy
          = (1/18) oS 3 [8y2  - 0]dy = (1/18 [8y2/3 y=o]4 = (1/18 [128/3 ] = 64/27
Note E(XY) = oS3oS4xyy/18 dxdy = oS32y2/9 [oS4 x/4 dx]dy =[oS4 x/4 dx][ oS32y2/9 dy] = EX EY

--- --- --- --- --- --- --- --- ---
HW:
Handout on discrete:   Finish 5.1-1, do 5.1-3.e,f (read the solutions to a-d).Corrections, comments: 5.1-1c,f: There's not much of a double sum to write when the probability wanted is only one point.  What I'm looking for is that you try to write double sums that parallel what you do in writing double integrals, but in the sum case you can actually check your work by brute force.  Do what makes sense. 5.1-3.f :The inner sum should be y=x+1 to y=x+4, not x+5.  Substitute for x = 1 and check that the inner sum sums over the right y's. Likewise for x = 2. x=3. x=4.

A) Find fX(x) for the example above, where f(x,y) = y/18 on the rectangle 0<x<4, 0<y<3.
DO Handout on Continuous "Probability", #17 and #18 (p. 2): For the last assignment, you Sketched the region of positive density of f, and did parts a.
    Now:  determine their marginal densities and whether X and Y are indep.for 17,18,19, and finish 17, do 18b, 19b.
    17, 18, 19 are in DPGraph files to be viewed.(the z axis is distorted to get a better picture.)
Ash p. 181, #2a For last assignment, graphed the region of f, and the region you want the prob. of. Now finish it, do 2b..  (Hint:   p. 164 has pictures for min and max--but in my book the text refers to the wrong pictures (the captions are right),
  #7.  (Did already?)Do it by graphing the regions, and since all pairs x,y are equally likely, find the prob's by proportional areas (cf. pp. 31-2, and #7 p. 35.)
Independence:
p. 191, #5. For each part: If they are independent, what are the marginals?.  Sketch the regions where f is positive, before bothering to look for the marginals.
#9
Read New Handout "Expected values",  and example 7 (not about expected values) and check the answer as the handwritten part  says.

  You will want the ones from the Continuous "Probability" handout to use as reference in the following problems.
Expected values:  Ash p. 222 #4. (One-variable, good review.)
Postpone:
Probability handout:
   For the density of problem #17, find E(XY), and E(Y/X).
   #18 c (You found the marginals above.  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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