MATH 113
Syllabus
Fall 2010
WEEK 1
Monday, September 6
Read: Chapter 1 (Moore) pp. 3-22
Key concepts: individuals (rows, records), variables (quantitative vs categorical),
distributions: bar and pie charts for categorical data, histograms & stemplots for quantitative
variables, for quantitative variables: shape (symmetric or skewed, number of peaks), center,
spread of a distribution, outliers
Exercises: 1.13-1.22, 1.32, 1.35, 1.38
Wednesday, September 8
Read: Chapter 2 (Moore) pp. 39-56
Key concepts: mean, median, quartiles, 5-number summary, inter-quartile range (IQR),
the 1.5 x IQR rule, standard deviation
Exercises: 2.15-2.24, 2.38, 2.39, 2.43, 2.49, 2.51
Friday, September 10
Finishing touches and review; Quiz #1
WEEK 2
Monday, September 13
Read: Chapter 3 (Moore) pp. 67-85
Key concepts: density curve – mean and median, standard deviation; the normal curve –
determined by the parameters µ (mean) and σ (standard deviation), 68-95-99.7 rule, standard
normal curve/distribution, normal proportions, using standard normal distribution table
Exercises: 3.15-3.24, 3.35, 3.37, 3.41, 3.49
Wednesday, September 15
Read: Chapter 4 (Moore) pp. 95-110
Key concepts: response and explanatory variables, scatterplot, interpreting a scatterplot:
direction, form, and strength, Pearson’s formula, correlation – degree of linear association,
positive and negative association between variables
Exercises: 4.14-4.23, 4.26, 4.30, 4.34, 4.44
Friday, September 17
Finishing touches and review; Quiz #2
WEEK 3
Monday, September 20
Read: Chapter 5 (Moore) pp. 125-146
Key concepts: predicted values, observed values and residuals; review of facts about lines; least
squares regression line and its equation; using LINEST in Excel; influential observations,
extrapolation and lurking variables; the use of r2
Exercises: 5.17-5.26, 5.32, 5.36, 5.40, 5.54
Wednesday, September 22
Read: Chapter 6 (Moore) pp. 161-169
Key concepts: relationships in categorical data; the row variable, the column variable; marginal
distributions; conditional distributions; Simpson’s Paradox
Exercises: 6.8-6.17, 6.18, 6.20, 6.25
Friday, September 24
Finishing touches and review; Quiz #3
WEEK 4
Monday, September 27
Catching up – lecture, discussion, problems
Wednesday, September 29
Read: Chapter 8 (Moore) pp. 201-216
Key concepts: population; sample; sampling design; voluntary response and convenience
sampling; using table of random digits; observational study; experiment; statistical inference;
confounding variables; bias; stratified random sample; multistage sampling, undercoverage;
non-response
Exercises: 8.16-8.24, 8.30, 8.40, 8.44, 8.46
Friday, October 1
Finishing touches and review; Quiz #4
WEEK 5
Monday, October 4
Read: Chapter 9 (Moore) pp. 223-238
Key concepts: design of experiments; subjects, factors, treatments, response variable;
randomized comparative experiment; control, randomization, replication; statistically
significant; double-blind experiment
Exercises: 9.19-9.27, 9.38, 9.44, 9.48
Wednesday, October 6
Away at conference
Friday, October 8
Away at conference
WEEK 6
Monday, October 11
Read: Chapter 10 (Moore) pp. 261-280
Key concepts: random event; probability; sample space, event, probability model; discrete
probability model; random variable
Exercises: 10.32, 10.36, 10.40, 10.44, 10.50, 10.52
Wednesday, October 13
Prelim #1
Friday, October 15
Away at conference.
WEEK 7
Monday, October 18
No class Fall break.
Wednesday, October 20
Read: Chapter 11 (Moore) pp. 291-307
Key concepts: sampling distribution; parameter vs statistic; sampling distribution; the Law of
Large Numbers; the Central Limit Theorem
Exercises: 11.14-11.21, 11.26, 11.30, 11.34, 11.38
Friday, October 22
Finishing touches and review; Quiz #5
WEEK 8
Monday, October 25
Read: Chapter 14 (Moore) pp. 359-382
Key concepts: Conditions for inference about the mean; confidence interval estimate of µ;
margin of error; level C confidence interval for a parameter; sample size for desired
margin of error
Exercises: 14.24-14.33, 14.38, 14.40, 14.48, 14.50, 14.54, 14.56
Wednesday, October 27
Continued discussion and coverage of topics from Chapter 14
Friday, October 29
Finishing touches and review; Quiz #6
WEEK 9
Monday, November 1
Read: Chapter 15 (Moore) pp. 393-405, 409-410
Key concepts: inference with an unknown population standard deviation, achieving a small
margin of error, role of increasing the sample size, necessary assumptions, use sample standard
deviation to estimate sampling distribution standard deviation, type I error and type II error.
Exercises: 15.18-15.27, 15.30, 15.32, 15.42
Wednesday, November 3
Continued discussion and coverage of topics from Chapter 15
Friday, November 5
Read: Chapter 17 (Moore) pp. 443-458
Key Concepts: new assumptions; t-distribution with n-1 degrees of freedom; characteristics of
density curves for t distributions; critical values; inferences about the mean; matched pairs t procedures
Exercises: 17.15-17.24, 17.28, 17.32, 17.40, 17.46
Quiz #7
WEEK 10
Monday, November 8
Continued discussion and coverage of topics from Chapter 17
Wednesday, November 10
Read: Chapter 18 (Moore) pp. 471-488
Key concepts: inference with an unknown population standard deviation, achieving a small
margin of error, role of increasing the sample size, necessary assumptions, use sample standard
deviation to estimate sampling distribution standard deviation, type I error and type II error.
Exercises: 15.18-15.27, 15.30, 15.32, 15.42
Friday, November 12
Read: Chapter 19 (Moore) pp. 501-514
Key Concepts: population proportion inference; sampling distribution of p
^; assumptions for
inference about a proportion; confidence interval estimation of p; procedure for computing
confidence interval for p; choosing a sample size; significance testing involving p
Exercises: 19.15-19.24, 19.26, 19.32, 19.36, 19.40
Quiz #8
WEEK 11
Monday, November 15
Continued discussion and coverage of topics from Chapter 19
Wednesday, November 17
Review for Prelim #2
Friday, November 19
Prelim #2
WEEK 12
Monday, November 22
Read: Chapter 22 (Moore) pp. 561-581
Key Concepts: chi-square statistic, χ2; degrees of freedom; mean of chi-square
distribution; assumptions for use;
Exercises: 22.18-22.27, 22.30, 22.40, 22.44. 22.46
Wednesday, November 24
Thanksgiving break
Friday, November 26
Thanksgiving break
WEEK 13
Monday, November 29
Continued discussion and coverage of topics from Chapter 22
Wednesday, December 1
Finishing touches on Chapter 22
Friday, December 3
Read: Chapter 24 (Moore) pp. 633-653
Key concepts: ANOVA basics for one-way analysis of variance comparing several means; the F
distribution; necessary assumptions; degrees of freedom for F test;
Exercises: 24.15-24.23, 24.24, 24.28, 24.30
Quiz #9
WEEK 14
Monday, December 6
Continued discussion and coverage of topics from Chapter 24
Wednesday, December 8
Finishing touches on Chapter 24 and review for final
Friday, December 10
Review for final
FINAL EXAM
Thursday, December 16, 8:30 – 11:30