| | Date | Part | Chapter | Topic | Handouts | Data | Additional activity/notes |
| 24+25 | 19.04.12+20.04.12 | 1-7 | | The course | 1up 2up 4up | | |
| 23 | 13.04.12 | 7 | 16.3, p133-135 | Wilcoxon Rank-sum test, approximation to E and Var | 1up 2up 4up | balance.MTW, balance.txt | Nonparametric tests |
| 22 | 12.04.12 | 7 | 16.1-16.2 | Nonparametric tests (sign, sign-ranked) | 1up 2up 4up | | |
| X | 30.03.12 | - | - | No lecture. Deadline for handing in the DOE project | | | |
| 21 | 29.03.12 | 6 | 10.12-10.13 | Chisquare tests, Simpsons paradox | 1up 2up 4up | | Test of association |
| 20 | 23.03.12 | 5, 6 | 17.5, 10.11 | Control charts for attributes, goodness of fit tests | 1up 2up 4up | feilbrikker.MTW, feilbrikker.txt sjukefravere.MTW, sjukefravere.txt | Control chart examples |
| 19 | 22.03.12 | 5 | 17.1-17.3 | Statistical process control, control charts for variables | 1up 2up 4up | metalltjukkleik.MTW, metalltjukkleik.txt | |
| 18 | 16.03.12 | 4 | 14.1-14.3 | Two-way ANOVA | 1up 2up 4up | eysenck.txt, eysenck.MTW | |
| 17 | 15.03.12 | 4 | 13.6-13.8 | Multiple tests, block designs | 1up 2up 4up | | R script Tukey example, R script machine example |
| 16 | 09.03.12 | 4 | 13.3, 13.4, 13.6 | One way ANOVA: homogeneity of variances and multiple tests | 1up 2up 4up | | |
| 15 | 08.03.12 | 4 | 13.1-13.3 | One way ANOVA | 1up 2up 4up | aggregates.MTW R script for aggregates | Proof thm 13.2(pdf) ANOVA (pdf) |
| X | 02.03.12, 14-16 in F2 | 3 | DOE | No lecture, but instead supervision of compulsory project | | | |
| X | 01.03.12, 12-14 in R10 | 3 | DOE | No lecture, but instead supervision of compulsory project | | | |
| 14 | 24.02.12 | 3 | BHH Ch 12.2-12.6 | Fractional factorial designs | 1up 2up 4up | BHHreactor16.MTW BHHreactor32.MTW R script for BHHreactor | |
| 13 | 23.02.12 | 3 | Note p 13-17,BHH 12.1-12.2 | Blocking, fractional factorial designs | 1up 2up 4up | pilotdata8blokk.MTW, R script blocking with pilot plant | Box, Hunter and Hunter Chapter 12 (pdf) |
| 12 | 17.02.12 | 3 | p7-13 | 2ink, Variance, inference | 1up 2up 4up | limabeans.MTW R script lima beans | Seed to Plant compulsory project example (pdf) |
| 11 | 16.02.12 | 3 | Note p 1-7 | Orthonality, Effects, 2in3 | 1up 2up 4up | R script for pilot example | DOE in MINITAB |
| 10 | 10.02.12 | 2-3 | DOE note p1-3, 12.7 | Slides 14-18+26-31from yesterday (1hrs) and then 1hrs of Design of Experiments (DOE), factorial experiments | 1up 2up 4up | | Notat: Factorial experiments at two levels |
| 9 | 09.02.12 | 2 | 12.6-7, 12.9, 12.11 | Model selection, subsets and orthogonality | 1up 2up 4up | acidrain.MTW (MINITAB), acidrain.txt (R), acid.r (R script to analyse acid rain data) | |
| 8 | 03.02.12 | 2 | 12.4-12.6, 12.10 | MLR ANOVA, prediction, residuals | 1up 2up 4up | wrongmodelMLR.r (R script to simulate data for the wrong model example) | |
| 7 | 02.02.12 | 2 | 12.1-12.4 | The multiple linear regression model - including matrix notation, least squares estimators | 1up 2up 4up | swiss.MTW (MINITAB) and available in R as swiss R script | |
| 6 | 27.01.11 | 2 | 11.5-11.8 | Simple linear regression: inference, prediction | 1up 2up 4up | aswan.MTW (MINITAB) and aswan.txt (R) | |
| 5 | 26.01.12 | 2 | 11.1-11.4, 11.5, 11.8 | Simple linear regression, sum of squares | 1up 2up 4up | stiffdens.MTW (MINITAB) and stiffdens.txt (R) | Linear regression |
| 4 | 20.01.12 | 1 | 8.7, 9.8, 10.5, 10.10 | Two sample t-test, F-distribution, F-test | 1up 2up 4up | fusiontime.MTW (MINITAB) and fusiontime.txt (R) | FusionTimeData Comparing means |
| 3 | 19.01.12 | 1 | 8.6, 9.4, 10.1-10.4 | Hypothesis testing, t-distribution, t-test, confidence interval | 1up 2up 4up | LDLds.MTW (MINITAB) and LDLds.txt (R) | Hypothesis testing and p-values |
| 2 | 14.01.11 | 1 | 1-7, 8.8, 8.1-8.5 | Repetitions, normal plot, sampling distributions | 1up 2up 4up | LDLbeforeafter.csv, MINITAB intro | Presenting data, Population and sample |
| 1 | 12.01.11 | 1 | 1-7, 8.1-8.3 | Introduction - course and topics, use of software | 1up 2up 4up | | |