Dataset Overview

The teaching pack uses a small number of datasets repeatedly. Reusing the same files helps you spend more time interpreting results and less time searching for a new dataset each chapter.

The table below lists them.

Dataset	Rows x columns	Main use	Chapters	Software
DMM_Teaching_Data_Full.csv	200 x 26	Core teaching file for most statistical weeks	1, 2, 4, 5, and 9 to 15	JASP or PocketStat, Excel, R
DMM_Coursework_Data.csv	100 x 28	Assessed coursework file with marketing spend and customer acquisition	Coursework and Chapter 9 demo	JASP or PocketStat
Week6_Porter_Scenario_Data.csv	40 x 10	Porter’s Five Forces ratings and strategic option practice	6	Google Sheets and discussion
Week7_RBV_Resource_Data.csv	40 x 7	VRIO and resource advantage practice	7	Google Sheets and discussion
Week3_Decision_Tree_Data.csv	100 x 6	Expected value decision practice	3	Google Sheets
Week3_CPM_Task_Data.csv	8 x 6	PERT and CPM timing practice	3	Google Sheets
Week3_Gantt_Data.csv	8 x 8	Project schedule and Gantt practice	3	Google Sheets
Week3_Probability_Basics_Data.csv	100 x 4	Event counting and probability practice	3	Google Sheets

The dictionary files in data/dictionary/ describe the recommended JASP type for each variable. Use those files when JASP imports a CSV and marks every column as scale. PocketStat infers types on load, so the same care applies: check that an ordinal rating has not been read as a scale measurement before running a test.

Derived teaching datasets

The revised project also includes derived teaching datasets for examples that need a cleaner multi-context structure. The derived teaching datasets below are used where a concept needs a cleaner multi-context structure.

Dataset	Main use	Contexts
week04_single_sample_inference_demo.csv	Benchmark testing, confidence intervals, one-sample proportion	Business, health service, public service, education
week05_group_comparison_anova_demo.csv	Independent groups, paired logic, ANOVA, Tukey, Kruskal-Wallis	Retail, clinic, service centre
week12_cleaned_spreadsheet_factor_prep.csv	Spreadsheet cleaning, reverse coding, composite scoring, pivot summaries	Central, North, and South branches of one organisation
week13_15_factor_sem_teaching_demo.csv	EFA, CFA, SEM and PLS-SEM teaching examples	One organisation, three constructs: capability, strategy, and performance

Use the original raw datasets for continuity with the module. Use the derived datasets when a concept requires a focused example with clear group structure, scale items, or latent constructs.