Data tabulation and diagrams · Measures of central tendency · Measures of dispersion · Further summary statistics · Scatter diagrams and correlation · Time series · Quality assurance · Population estimation38 notes

2a Data tabulation and diagrams

2b Measures of central tendency

2b.01 Calculating averages 2 notes
- Calculating averages for discrete and grouped data Pro
- Effects of data changes and transformations on averages Pro

2c Measures of dispersion

2d Further summary statistics

2e Scatter diagrams and correlation

2f Time series

2g Quality assurance

2h Population estimation

Processing, representing and analysing data overview

3 Probability

Probability14 notes

Probability

Probability overview

1b.03

Explanatory and response variables

Pro

1b.04 Primary and secondary data Pro

1c.03

Judgement and opportunity sampling

Pro

1c.04 Appropriate sampling techniques Pro

1c.05 Simple random sampling Pro

1c.06 Stratified sampling Pro

1d.03

Minimising data distortion and bias

Pro

1d.04 Planning data collection Pro

1d.05 Handling collected data problems Pro

1d.06 Data cleaning techniques Pro

1d.07 Extraneous variables and control groups Pro

2b.02

Justifying average selection

Pro

2b.03 Comparing central tendencies Pro

2c.03

Commenting on outliers

Pro

2c.04 Comparing measures of spread Pro

2c.05 Comparing samples and populations Pro

2c.06 Standardising comparative data Pro

2e.03

Correlation versus causation

Pro

2e.04 Lines of best fit Pro

2e.05 Spearman's rank correlation Pro

2e.06 Interpreting Spearman's rank Pro

2e.07 Interpreting Pearson's PMCC Pro

2e.08 Comparing Spearman's and Pearson's Pro

2h.03

Sample size and reliability

Pro