Stat 3600 -- Probability and Statistics I -- Spring 2012

Exercises and Assignments:

• Assignment 1 (due Thursday, Jan 26)
  • Section 1.1 (pg. 9): 1,2,3,4,5,11
    Turn in 1,3, and 11
  • Section 1.2 (pg. 18): 1,2,3,4,5
    Turn in 3 and 5
• Assignment 2 (due Thursday, Feb 2)
  • Section 1.2 (pg. 18): 7,8,9,10,11
    Turn in 9 and 11
  • Section 1.3 (pg. 27): 1-12
    Turn in 2, 5, 7, 11
• Assignment 3 (due Thursday, Feb 9)
  • Section 1.3 (pg. 27): 13, 14, 15, 17, 20, 21
    Turn in 15, 20
  • Section 1.4 (pg. 36): 1-19
    Turn in 3, 6, 11
• Assignment 4 (due Thursday, Feb 16)
  • Section 1.5 (pg. 43): 1-15
    Turn in 5, 13
  • Section 1.6 (pg. 48): 1-5
    Turn in 3
• Assignment 5 (due Thursday, March 1)
  • Section 2.1 (pg. 59): 1-10
    Turn in 5, 9
  • Section 2.2 (pg. 66): 1-9
    Turn in 7
  • Section 2.3 (pg. 75): 1-11
    Turn in 1,7
• Assignment 6 (due Thursday, March 22)
  • Section 2.4 (pg. 87): 1-7
    Turn in 5
  • Section 2.5 (pg. 97): 1-11
    Turn in 5,7
• Assignment 7 (due Thursday, March 29)
  • Section 3.1 (pg. 117): 1,3,5
    Turn in 3
  • Section 3.3 (pg. 139): 1-19
    Turn in 3,7,9,15
• Assignment 8 (due Thursday, April 12)
  • Section 2.6 (pg. 107): 1-9
    Turn in 7,9
  • Section 3.4 (pg. 146): 1,3,4,6,8,9,13
    Turn in 3,13
  • Section 3.5 (pg. 155): 1-9
    Turn in 8,9
• Assignment 9 (due Thursday, April 19)
  • Section 3.6 (pg. 165): 1-11,17
    Turn in 9,11,17
  • Section 4.1 (pg. 189): 1-7,11
    Turn in 5,11
• Assignment 10
  • Section 4.2 (pg. 195): 1,2(a,b,c),3(a,b),4,6,7
    

Exams:

• Exam 1 (Chapter 1), Thursday, Feb 16 ( solutions to Exam 1 )
• Exam 2 (Chapter 2), Thursday, March 29 ( solutions to Exam 2 )
• Exam 3 (Chapter 3, sections 3.3-3.6), Tuesday, April 24 ( solutions to Exam 3 )
  (you can bring a standard 3X5 card crib sheet with you to this exam)


• Final Exam (Sections: 1.1-1.6; 2.1-2.6; 3.3-3.6; 4.1-4.2)
  Exam will be held in Parker 362 on Thursday, May 3; 12pm to 2:30pm
  (Final Exam will be open book, in particular, you'll find the text's tables to be useful.)

Miscellaneous

• B(n,p) , the binomial distribution with parameters n and p
• Some important discrete random variables are here.
• Standardizing a normally distributed random variable.