# MATH 102 Spring 2008 Schedule

Unless otherwise specified, all homework assignments are from the text:
Johnson, Robert, and Kuby, Patricia, Elementary Statistics (10th ed.), Thomson, 2008. ISBN 0-495-38386-4.

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.

HW Due
SecPageQuestions
1Wed 9Janch1 Introduction, description vs. inference, sample vs. population, variables
2Fri 11Jan2.1, 2.3 Histograms, distributions, (skip stem-and-leaf)
3Mon 14Jan2.2, 2.4 Ogive, Pareto plots; Centres (mean/median)
4Wed 16Jan2.5-2.6 Dispersion (MAD, stddev), Quartiles/percentiles, boxplot (skip Chebyshev's theorem)
5Fri 18Jan2.7-2.8, 4.1 Empirical Rule, normality, z-scores (omit §2.9); Probability (theoretical vs. empirical)
HW1 1.2p.13 1.8, 1.26, 1.28, 1.32
ch1p.31 1.70, 1.76
2.2p.50 2.4, 2.20, 2.22
2.3p.67 2.30, 2.36, 2.38, 2.46 (omit (e)), 2.56
2.4p.80 2.70, 2.72, 2.74, 2.80
6Mon 21Jan4.2, 4.4-4.5 Venn diagrams, mutual exclusivity, Addition rule
7Wed 23Jan4.3, 4.6 Odds, Conditional probability, event trees
8Fri 25Jan4.6-4.7 Conditional probability, multiplication rule, independence
HW2 2.5p. 90 2.87, 2.94, 2.100
2.6p.103 2.106, 2.108, 2.118, 2.120, 2.124
2.7p.111 2.130, 2.132
2.8p.116 2.148, 2.152
ch2p.127 2.184 (omit (a)), 2.188
4.1p.206 4.4
4.2p.217 4.10
9Mon 28Jan5.1-5.3 Independence: definition, intuition, tables, examples
10Wed 30Jan5.4 Random variables, discrete probability distributions: mean, stddev
11Fri 1Feb5.5 Binomial variables
HW3 4.2p.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)
4.4p.234 4.62, 4.66, 4.68, 4.70, 4.74, 4.76, 4.78, 4.80
4.5p.241 4.88, 4.94, 4.96, 4.98
4.6p.247 4.102, 4.108, 4.110, 4.114, 4.118
4.7p.256 4.130
12Mon 4Feb6.1-6.3 Binomial distribution; mean and standard deviation
13Wed 6Feb Review ch 1, 2, 4
14Fri 8Feb Midterm ch 1, 2, 4
15Mon 11Feb6.4-6.5 The normal distribution; Working with Table 3
16Wed 13Feb6.4-6.5 Examples with the Normal Distribution and Table 3
17Fri 15Feb6.6 Approximating the Binomial with the Normal
HW4 ch4p.260 4.138, 4.144, 4.154
5.3p.276 5.18, 5.22
5.4p.283 5.36
5.5p.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)
5.6p.302 5.90, 5.92
ch5p.307 5.108, 5.110, 5.120, 5.126
18Mon 18Feb7.1-7.2 Sampling Distribution of Sample Means
19Wed 20Feb7.3-7.4 SDSM examples
20Fri 22Feb8.1-8.2 SDSM and Confidence Intervals
HW5 6.3p.321 6.8, 6.18, 6.22, 6.28, 6.34, 6.38
6.4p.332 6.44, 6.48, 6.50, 6.58, 6.62
6.5p.341 6.74, 6.76, 6.84
6.6p.348 6.88, 6.90, 6.93, 6.99(a,b)
ch6p.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)
21Mon 3Mar8.4 Hypothesis Testing
22Wed 5Mar8.5 H0 vs. HA, P-value, "reject H0" vs. "fail to reject H0"
23Fri 7Mar8.6 P-value approach and classical approach
HW6 7.1p.367 7.6, 7.8
7.3p.376 7.24, 7.26
7.4p.380 7.30, 7.34, 7.36, 7.42, 7.44
ch7p.385 7.50, 7.51, 7.56, 7.60 (hint: see 7.59)
8.2p.401 8.7, 8.8, 8.14
8.3p.412 8.24, 8.26, 8.28, 8.30
24Mon 10March8 Hypothesis Testing; one-tailed vs. two-tailed
25Wed 12Mar Review ch 5, 6, 7
26Fri 14Mar Midterm ch 5, 6, 7
27Mon 17Mar9.1-9.2 Estimation/inferences: Student's t-test
28Wed 19Mar9.3 Estimating p of a binomial
Fri 21Mar (Good Friday holiday)
Mon 24Mar (Easter Monday holiday)
29Wed 26Mar9.4 Estimating std dev: chi-squared
30Fri 28March9 Chi-squared examples
HW7 8.4p.423 8.54, 8.60, 8.73
8.5p.439 8.84, 8.86, 8.99, 8.104, 8.114, 8.116
8.6p.459 8.152, 8.155 (use either classical or p-value approach)
ch8p.463 8.162, 8.164, 8.172, 8.184(a), 8.195, 8.196
9.2p.488 9.8, 9.10, 9.24
31Mon 31Mar3.1-3.3 Data with two variables, correlation
32Wed 2Apr3.3, 13.1-13.3 Inferences about correlation
33Fri 4Apr13.3 Inferences about correlation, cont.
HW8 9.2p.489 9.22, 9.34, 9.36, 9.50a, 9.59
9.3p.508 9.66, 9.70, 9.74, 9.80, 9.90, 9.108a
9.4p.525 9.122, 9.128, 9.138, 9.140a
ch9p.532 9.152, 9.160
34Mon 7Apr3.4, 13.4 Linear regression
35Wed 9Apr13.5-13.6 Inferences about the regression line
36Fri 11Apr13.7 Correlation and regression
HW9 3.2p.157 3.8, 3.16
3.3p.170 3.36, 3.40, 3.50
13.2p.702 13.8, 13.12
13.3p.709 13.20, 13.26, 13.32, 13.35, 13.40
37Mon 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)