Numbers are the sessions that cover each topic. Select one to open that session’s page in a new tab. A faded number such as 08 has no separate session page.
TopicStatistics I (B)Tue 2Statistics IITue 3Social ResearchTue 5Applied Info. LiteracyThu 3 / Fri 3BehaviormetricsHokkaido U. · Fri 1Intro. to InformationSpring · completed
TOPICS SHARED ACROSS COURSES
Setting up the computing environment04010402
Descriptive statistics, averages, spread0203040606
Tidying data and cross-tabulation060708050609
Visualisation and reading graphs0509030410
Samples, sampling, central limit theorem06061002
Correlation, causation, spurious correlation0510110812
Estimation and confidence intervals0707
Hypothesis testing080908090910111314
Survey planning and research ethics030411010203
TOPICS UNIQUE TO ONE COURSE
Probability distributions, Bayes' theorem1202030405
Regression, model selection, multivariate101113
Independence and group decisions1213
History of social research, secondary data0205060708
Qualitative research (interviews, observation, ethnography)09121314
Publishing, presenting, and reporting results101112130813

Connections across courses

Students taking more than one course get more out of a session by recalling the related session that comes before it. Dates are for autumn 2026.

Sampling and the CLT come in Statistics I about a month earlier

Statistics I (B) S6 Nov 10▸Social Research S10 Dec 8

After seeing the central limit theorem through simulation in Statistics I, students meet the same idea in Social Research as the answer to why a sample can tell us about a whole population. Statistics II session 6, on the same day, looks at when that assumption breaks down.

Survey design and research ethics come first in Applied Information Literacy

Applied Info. Literacy S2 Oct 1–2▸Applied Info. Literacy S3 Oct 8–9▸Social Research S3 Oct 13

In Applied Information Literacy, students plan their own survey and put research ethics and question writing into practice. Social Research session 3 then revisits that experience as methodology.

From correlation to causation, Statistics I to Statistics II

Statistics I (B) S5 Oct 27▸Statistics II S10 Dec 8▸Statistics II S11 Dec 15

Once students can read correlations in Statistics I, Statistics II examines when a correlation is not a causal relationship, focusing on confounding. Statistics II is designed as the continuation of Statistics I, and the two run back to back on Tuesdays.

The same tests, in Python and in R

Statistics I (B) S8 Nov 24Statistics II S8 Nov 24▸Behaviormetrics S9 Hokkaido U.

Behaviormetrics at Hokkaido University runs the tests covered in Statistics I and II in R. The ideas are the same and the tools differ. All sites are public, so either one can be used to see how the other language does it.

Applied Information Literacy runs as two sections with the same content. Introduction to Information ended in spring 2026, and its materials site remains available. Behaviormetrics is taught at Hokkaido University. All course sites are in Japanese.
The ideas themselves are explained with primate data in A Guide to Statistical Thinking.