MATH 102 Spring 2008 Schedule

Textbook update (15Jan 12:30): Textbooks are in!
I have scanned the pages from the textbook with the homework questions for HW1, so you can get started on them.

#	Date	Reading / HW Due	Sec	Page	Questions
1	Wed 9Jan	ch1	Introduction, description vs. inference, sample vs. population, variables
2	Fri 11Jan	2.1, 2.3	Histograms, distributions, (skip stem-and-leaf)
3	Mon 14Jan	2.2, 2.4	Ogive, Pareto plots; Centres (mean/median)
4	Wed 16Jan	2.5-2.6	Dispersion (MAD, stddev), Quartiles/percentiles, boxplot (skip Chebyshev's theorem)
5	Fri 18Jan	2.7-2.8, 4.1	Empirical Rule, normality, z-scores (omit §2.9); Probability (theoretical vs. empirical)
HW1			1.2	p.13	1.8, 1.26, 1.28, 1.32
			ch1	p.31	1.70, 1.76
			2.2	p.50	2.4, 2.20, 2.22
			2.3	p.67	2.30, 2.36, 2.38, 2.46 (omit (e)), 2.56
			2.4	p.80	2.70, 2.72, 2.74, 2.80
6	Mon 21Jan	4.2, 4.4-4.5	Venn diagrams, mutual exclusivity, Addition rule
7	Wed 23Jan	4.3, 4.6	Odds, Conditional probability, event trees
8	Fri 25Jan	4.6-4.7	Conditional probability, multiplication rule, independence
HW2			2.5	p. 90	2.87, 2.94, 2.100
			2.6	p.103	2.106, 2.108, 2.118, 2.120, 2.124
			2.7	p.111	2.130, 2.132
			2.8	p.116	2.148, 2.152
			ch2	p.127	2.184 (omit (a)), 2.188
			4.1	p.206	4.4
			4.2	p.217	4.10
9	Mon 28Jan	5.1-5.3	Independence: definition, intuition, tables, examples
10	Wed 30Jan	5.4	Random variables, discrete probability distributions: mean, stddev
11	Fri 1Feb	5.5	Binomial variables
HW3			4.2	p.217	4.12, 4.18, 4.22, 4.26, 4.28, 4.38(a-c), 4.46, 4.48 (4.38: you need not use chocolates, but use something with a reasonably interesting probability)
			4.4	p.234	4.62, 4.66, 4.68, 4.70, 4.74, 4.76, 4.78, 4.80
			4.5	p.241	4.88, 4.94, 4.96, 4.98
			4.6	p.247	4.102, 4.108, 4.110, 4.114, 4.118
			4.7	p.256	4.130
12	Mon 4Feb	6.1-6.3	Binomial distribution; mean and standard deviation
13	Wed 6Feb	Review ch 1, 2, 4
14	Fri 8Feb	Midterm ch 1, 2, 4
15	Mon 11Feb	6.4-6.5	The normal distribution; Working with Table 3
16	Wed 13Feb	6.4-6.5	Examples with the Normal Distribution and Table 3
17	Fri 15Feb	6.6	Approximating the Binomial with the Normal
HW4			ch4	p.260	4.138, 4.144, 4.154
			5.3	p.276	5.18, 5.22
			5.4	p.283	5.36
			5.5	p.294	5.46, 5.49, 5.58(a,b,e,f), 5.64, 5.70, 5.74 (see bottom of p.291 for details on Table 2)
			5.6	p.302	5.90, 5.92
			ch5	p.307	5.108, 5.110, 5.120, 5.126
18	Mon 18Feb	7.1-7.2	Sampling Distribution of Sample Means
19	Wed 20Feb	7.3-7.4	SDSM examples
20	Fri 22Feb	8.1-8.2	SDSM and Confidence Intervals
HW5			6.3	p.321	6.8, 6.18, 6.22, 6.28, 6.34, 6.38
			6.4	p.332	6.44, 6.48, 6.50, 6.58, 6.62
			6.5	p.341	6.74, 6.76, 6.84
			6.6	p.348	6.88, 6.90, 6.93, 6.99(a,b)
			ch6	p.350	6.102, 6.106, 6.110, 6.112, 6.114, 6.128
	Mon 25Feb	(Reading break)
	Wed 27Feb	(Reading break)
	Fri 29Feb	(Reading break)
21	Mon 3Mar	8.4	Hypothesis Testing
22	Wed 5Mar	8.5	H0 vs. HA, P-value, "reject H0" vs. "fail to reject H0"
23	Fri 7Mar	8.6	P-value approach and classical approach
HW6			7.1	p.367	7.6, 7.8
			7.3	p.376	7.24, 7.26
			7.4	p.380	7.30, 7.34, 7.36, 7.42, 7.44
			ch7	p.385	7.50, 7.51, 7.56, 7.60 (hint: see 7.59)
			8.2	p.401	8.7, 8.8, 8.14
			8.3	p.412	8.24, 8.26, 8.28, 8.30
24	Mon 10Mar	ch8	Hypothesis Testing; one-tailed vs. two-tailed
25	Wed 12Mar	Review ch 5, 6, 7
26	Fri 14Mar	Midterm ch 5, 6, 7
27	Mon 17Mar	9.1-9.2	Estimation/inferences: Student's t-test
28	Wed 19Mar	9.3	Estimating p of a binomial
	Fri 21Mar	(Good Friday holiday)
	Mon 24Mar	(Easter Monday holiday)
29	Wed 26Mar	9.4	Estimating std dev: chi-squared
30	Fri 28Mar	ch9	Chi-squared examples
HW7			8.4	p.423	8.54, 8.60, 8.73
			8.5	p.439	8.84, 8.86, 8.99, 8.104, 8.114, 8.116
			8.6	p.459	8.152, 8.155 (use either classical or p-value approach)
			ch8	p.463	8.162, 8.164, 8.172, 8.184(a), 8.195, 8.196
			9.2	p.488	9.8, 9.10, 9.24
31	Mon 31Mar	3.1-3.3	Data with two variables, correlation
32	Wed 2Apr	3.3, 13.1-13.3	Inferences about correlation
33	Fri 4Apr	13.3	Inferences about correlation, cont.
HW8			9.2	p.489	9.22, 9.34, 9.36, 9.50a, 9.59
			9.3	p.508	9.66, 9.70, 9.74, 9.80, 9.90, 9.108a
			9.4	p.525	9.122, 9.128, 9.138, 9.140a
			ch9	p.532	9.152, 9.160
34	Mon 7Apr	3.4, 13.4	Linear regression
35	Wed 9Apr	13.5-13.6	Inferences about the regression line
36	Fri 11Apr	13.7	Correlation and regression
HW9			3.2	p.157	3.8, 3.16
			3.3	p.170	3.36, 3.40, 3.50
			13.2	p.702	13.8, 13.12
			13.3	p.709	13.20, 13.26, 13.32, 13.35, 13.40
37	Mon 14Apr	Course Review (some practise problems on ch3/13 here)
	Tue 15Apr	Last day to do online course evaluations: check your myTWU email for the link and password. More details here. Enter for a chance to win a $100 bookstore gift certificate!
	Wed 23Apr	Final Exam (9-12am) note: the exam will be designed for 2.5hrs, and you will be allowed up to 3hrs (this is in line with most other math courses at TWU and other universities)