HL AI – Statistics 1

Types of Data

Cumulative Frequency




Statistics Review

Averages and Range

Spearman's Rank

Traffic Light Coding for Unit

Make your own copy and share with your students.

Learning Outcomes
Types of data: continuous and discrete.
Sampling: random samples, bias in samples and outliers.
Understand how to take a random sample, stratified data, systematic data.
Central tendency measure: mean, mode, median, range and quartiles, including grouped data.
Understand statistical diagrams such as histograms with even bar width.
Reading and constructing cumulative frequency and box and whisker plots.
Variance and standard deviation, and effect of constant changes on data.
Correlation and regression values, Pearsons’ product moment correlation coefficient.
Scatter diagrams, lines of best fit and predicting data from lines.
Biased and unbiased estimators