Stat 3600 -- Probability and Statistics I -- Spring 2012
Greg Harris
Department of Mathematics and Statistics
Auburn University
Click here to see a course syllabus.
Exercises and Assignments:
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Assignment 1 (due Thursday, Jan 26)
- Section 1.1 (pg. 9):
1,2,3,4,5,11
Turn in 1,3, and 11
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Section 1.2 (pg. 18):
1,2,3,4,5
Turn in 3 and 5
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Assignment 2 (due Thursday, Feb 2)
-
Section 1.2 (pg. 18):
7,8,9,10,11
Turn in 9 and 11
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Section 1.3 (pg. 27):
1-12
Turn in 2, 5, 7, 11
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Assignment 3 (due Thursday, Feb 9)
-
Section 1.3 (pg. 27):
13, 14, 15, 17, 20, 21
Turn in 15, 20
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Section 1.4 (pg. 36):
1-19
Turn in 3, 6, 11
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Assignment 4 (due Thursday, Feb 16)
-
Section 1.5 (pg. 43):
1-15
Turn in 5, 13
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Section 1.6 (pg. 48):
1-5
Turn in 3
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Assignment 5 (due Thursday, March 1)
-
Section 2.1 (pg. 59):
1-10
Turn in 5, 9
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Section 2.2 (pg. 66):
1-9
Turn in 7
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Section 2.3 (pg. 75):
1-11
Turn in 1,7
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Assignment 6 (due Thursday, March 22)
-
Section 2.4 (pg. 87):
1-7
Turn in 5
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Section 2.5 (pg. 97):
1-11
Turn in 5,7
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Assignment 7 (due Thursday, March 29)
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Section 3.1 (pg. 117):
1,3,5
Turn in 3
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Section 3.3 (pg. 139):
1-19
Turn in 3,7,9,15
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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
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Section 4.1 (pg. 189):
1-7,11
Turn in 5,11
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Assignment 10
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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.
Feb 2012