HOME WORK
PROBABILITY AND STATISTICS
CHAPTER/SECTION TOPIC PROBLEMS DUE
  1.2  Characterizing Sets: Graphically  p.6    # 1.4, 1.5
  1.3  Characterizing Sets: Numerically  p.11  #1.7,  .8, .10, .11, .16
  1.4  Infrerences  p.16  #1.21, .22, .25
  2.3  Review of Sets  p.24  #2.1,  .3,  .5
  2.4  Probability Model: Discrete Case  p.31  #2.7, .9, .11, .13, .16
  2.5  Sample Point Method  p.37  #2.19, .21, .23, .24
  2.6  Counting Tools  p.46  #2.29,.31,.33,.35,.36,.38b,.39,.41,.42,.47,.52
  2.7  Conditional Probability  p.53  #2.57, .59, .61, .62
  2.8   Two Laws of Probability  p.57  #2.66, .71, .77, .78
  3.2   Discrete Random Variables  p.87  #3.1, .3, .6, .7
  3.3   Expected Value--Discrete RV's  p.95  #3.10, .11, .12, .15, .16, .17
  3.4-3.5   Binomial & Geometric Distributions  p.106 #3.25, .28, .29, .32, .34, .44, .45
 p.114 #3.51, .52, .57
  3.7-3.8   Hypergeometric & Poission Distributions  p.123 #3.84--p129 #3.97,.98, .101,.103
  3.11   Tchebysheff's Theorem  p.141 #3.131, .134, .136, .137
  4.2   Continuous Random Variables  p.157 #4.3, ..4, .6, .8, .11, .13
  4.3   Expected Value--Continuous RV's  p.164 #4.14, ..16, .19, .26
  4.4-4.5   Uniform & Normal Distributions  p.168 #4.32, .36
 p.176 #4.46, .47, .49, .54, .55, .56, .61, .63
  4.6-4.7   Gamma & Beta Distributions  p.181 #4.67, .68, .69, .76--p.185 #4.91, .94
  4.10   Tchebysheff's Theorem  p.196 #4.114, .117, .118
  7.2   Sampling Distribution  p.342 #7.1, .3
  7.3   Central Limit Theorem  p.349 #7.22, .23, .25, .28
  8.5   Confidence Intervals  p.383 #8.36, .37, .38
  8.6-8.8   Large & Small Sample Confidence   
  Intervals
 p391 #8.42,.47,.49,.53
 p404 #8.68,.70,.73,.76
  10.1-10.2  Hypothesis Testing: Statistical Test  p.466 #10.1, .10.2 
  10.3   Large Sample Tests  p.473 #10.7, .8, .9, .11, .14, .16, .20, .24
  10.6   Significance Level--p-value  p.485 #10.40, .41, .44
  10.8   Small Sample Tests for Means  p.495 #10.50, .51, .52, .53, .57, .60