- 1 EXT Modelling in Probability and Stats
- 1.1 DATA: Populations and Samples
- 1.2 DATA: Sampling Methods
- 1.3 DATA: Non Random Sampling
- 1.4 DATA: Types of Data
- 1.5 DATA: The large data set
- 2.1 MLS: Central Tendancy MeanMedianMode
- 2.2 MLS: Other, Quartiles, Percentiles
- 2.3 MLS: Measure of spread, IQR
- 2.4 MLS: Variance and Standard Deviation
- 2.5 MLS: Coding
- 3.1 DATA REP: Outliers
- 3.2 DATA REP: Box plots and Interquartiles
- 3.3a DATA REP: Cumulative Frequency Step Polygon
- 3.3b DATA REP: Cumulative Frequency Graph
- 3.4a DATA REP: Histograms
- 3.4b DATA REP: Relative Frequency histogram
- 3 EXT Stem and Leaf Diagrams
- 3 EXT Grouped Frequency distr.
- 3 EXT Frequency Distribution Table
- 3.5 DATA REP: Comparing data
- 4.1 CORRELATION: Correlation
- 4.2 CORRELATION: Linear Regression
- 5.1 (A) Calculating Probabilities
- 5.2 (B) Venn Diagrams
- 5.3 (C) Mutually Exclusive & Independent events
- 5.4 (D) Tree Diagrams
- 6.1 (A) Probability Distribution
- 6.2 (B) Binomial Distribution
- 6.3 (C) Cumulative Probability
- 7.1 (A) Hypothesis Testing
- 7.2 (B) Finding Critical Values
- 7.3 (C) One Tailed Tests
- 7.4 (D) Two Tailed Tests
The mean (aka the arithmetic mean, different from the geometric mean) of a dataset is the sum of all values divided by the total number of values. It’s
