Syllabus :

No.			Date		Lecture Topics	Assigned Exercises		Wk
L1		W	Jan 19		Introduction, 2.1  Sample Space			1
L2		F	Jan 21		2.2 Events, 2.3 Counting Sample Points
L3	M	Jan 24	2.3 Counting Sample Points, 2.4 Probability of an Event			2
L4	W	Jan 26	2.4 Probability of an Event, 2.5 Additive Rules	Recitation 1:
R1	F	Jan 28	Recitation	2.2: 10, 15, 19; 2.3:  8, 21, 26, 29 2.5:  4, 5, 6, 8,15
L5	M	Jan 31	2.6 Conditional Probability, 2.7 Multiplicative Rules	Home work #1:		3
L6	W	Feb 2	2.8 Bayes' Rule	2.2: 20; 2.3: 28; 2.5: 6, 8 2.7: 6, 16, 22;  2.8: 2, 4, 8 Due Monday, Feb 7
R2	F	Feb 4	Recitation	Recitation 2: 2.5: 15; 2.7: 4, 12, 8, 23; 2.8: 1, 3, 6
L7	M	Feb 7	3.1 Concept of Random Variable, 3.2 Discrete Probability Distributions	Hw1 is collected		4
L8	W	Feb 9	3.3 Continuous Probability Distributions, 3.4 Joint Probability Distributions
R3	F	Feb 11	Recitation	Recitation 3: 3.3: 25, 11, 15, 16, 9, 5, 21, 14
L9	M	Feb 14	3.4 Joint Probability Distributions (cont'd)	Hw1 is graded and given to students		5
L10	W	Feb 16	4.1 Mean of a Random Variable	Review 1, 6p.m., Kidde 228
T1	F	Feb 18	Test 1  covers Chapter 2	Test 1
--	M	Feb 21	President’s Day -- No classes	Recitation 4:		6
L11	W	Feb 23	4.2 Variance and Covariance	3.4: 3, 12, 13, 15
R4	F	Feb 25	Recitation	4.1: 12, 13, 21; 4.2: 3, 5
L12	M	Feb 28	4.2 Variance and Covariance (cont'd)	Home work #2:		7
L13	W	Mar 2	4.3 Means and Variances of Linear Combinations of Random Variables	3.3: 24, 26; 3.4: 2, 14, 18; 4.1: 10, 16; 4.2: 12; 4.4: 2, 12.
R5	F	Mar 4	Recitation	Recitation 5: 4.1: 17, 18, 23; 4.2: 13, 16; 4.4: 8, 11, 14, 16.
L14	M	Mar 7	4.3 Means and Variances of Linear Combinations of Random Variables (cont'd) 4.4. Chebyshev's Theorem	Hw2 is collected		8
L15	W	Mar 9	5.2 Discrete Uniform Distribution, 5.3 Binomial and Multinomial Distributions	Recitation 6:
R6	F	Mar 11	Recitation	5.3: 1, 3, 7, 11, 13, 15, 17, 19
L16	M	Mar 14	5.3 Binomial and Multinomial Distributions (cont'd)	Hw2 is graded and given to students		9
T2	W	Mar 16	Test 2 covers Chapters 3 and 4	Test 2
L17	F	Mar 18	5.5 Negative Binomial and Geometric Distributions 5.6 Poisson Distribution and the Poisson Process
--	M	Mar 21	Spring Recess			10
--	W	Mar 23	No classes
--	F	Mar 25	No classes
L18	M	Mar 28	6.1 Continuous Uniform Distribution, 6.2 Normal Distribution 6.3 Areas under the Normal Curve			11
L19	W	Mar 30	6.3 Areas under the Normal Curve (cont'd) 6.4 Applications of the Normal Distribution	Recitation 7: 5.6: 7, 9, 11, 13, 15, 21
R7	F	Apr 1	Recitation	6.4: 5, 6, 13, 19
L20	M	Apr 4	6.5 Normal Approximation to the Binomial 6.6 Gamma and Exponential Distributions	Home work #3:		12
L21	W	Apr 6	6.7 Applications of the Exponential and Gamma Distributions 6.8 Chi-Squared Distribution	5.3: 12, 22;  5.6: 10, 12, 24; 6.4: 10, 20; 6.5: 12; 6.10: 8, 18;
R8	F	Apr 8	Recitation	Recitation 8: 6.4: 6, 13, 19;  6.5: 5, 13;  6.10: 7, 13, 15.
L21	M	Apr 11	8.1 Random Sampling, 8.2 Some Important Statistics			13
L23	W	Apr 13	8.3 Data Displays and Graphical Methods	Hw3 is collected
R9	F	Apr 15	Recitation	Recitation 9: 6.4: 15, 18, 21;  6.5: 6, 14;  6.10: 4, 14, 19
L24	M	Apr 18	8.4 Sampling Distributions, 8.5 Sampling Distribution of Means	Hw3 is graded and given to students		14
L25	W	Apr 20	8.5 Sampling Distribution of Means (cont'd) 8.6 Sampling Distribution of S^2
T3	F	Apr 22	Test 3 covers Chapters  5 and 6	Test 3
L26	M	Apr 25	8.7 t-Distribution	Hw4 is assigned		15
L27	W	Apr 27	8.8 F-Distribution
R10	F	Apr 29	Recitation
L28	M	May 2	Review	Hw4 is collected		16
Rev	--	TBA
Fin	--	TBA