MATH 251, Probability and Statistics I, Fall 2001, Fri. Nov. 2, Day 27corrected

Finish Sec. 5.1 (Binomial).  Questions on HW? esp. 5.9, p. 393
QUIZ on means, variances, s.d., algebra of.

5.2  (Central Limit Th. and friends) generalizes the idea of averaging (or summing) n independent identical random variables from the simplest case where each is a Bernoulli trial (outcome either 0 or 1), to any X with any distribution.  Nothing should be a big surprise.
Note:  They use capital letters for random variables and small letters for specific values, except they use small xbar in this section where they should be using Xbar. (Typesetting problem??)
Xbar = (X1 + X2 +...+ X)/n , independent, identically distributed.  
          The X's are (usually for us) a SRS from a population with distribution of X (assuming pop. is 10 times n)
    The distribution of all possible Xbars is called the Sampling distribution of Xbar.
  µXbar =  µX              sigma Xbar =  sigmaX ÷ sqrt(n)
 If X is normal, then  Xbar is normal
 If n is large, then Xbar is approximately normal   (Central Limit Theorem)
We can use the tools of the normal distribution to study the behavior of sample means.

HW 27 Read 5.2 For this homework, memorize the contents of the boxes, pp. 399, 400, 402. (summarized in yellow table above)
We will consider the consequences of a general linear combination of independent normal random variables (p.401) next time.
Down the line:  We will skim through Weibull dist. (pp.406-7) and 5.3, and continue with 6.1. 

Hand in: 
Binomial review 
If you didn't get 5.9, do it now. Watch effect of changing n. 

Sec. 5.2 
5.28 axle diameter (mean, s.d.)
5.27 coal mine filters Note that the laboratory does NOT know the actual weight, and its scales are not perfectly accurate. Nonetheless... 
5.29 coke--1 vs. six.
5.30 hypokalemia. Anybody ever been sent back for a retest? 
5.35 NOX--backward.  Recall, like ex.1.27 p.78
Question on reading:  Why is the normal model "good" for so many observed data sets?  (Hint: answer is on pp. 402-3)


Will be assigned next time:
Linear combinations of independent normal r.v.'s (as p. 401)
5.38 resistances add
5.39 compare chicks
5.41 muX - muY
5.44 delay avoidance+work methods
5.45 X+Y couples.
Read, discuss 

 5.19 blacks represented?



 
 
 
 
 
 
 



next time:
5.40 Methods A and B
Optional 



Sec.5.2 (more practice) 
5.26, ACT,1&50
5.37 kindergarten--backward calc.
 
 
 
 
 
 
 


next time:
5.42 X+Y+ Z
 
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