SL AA – Statistics
Types of Data
Cumulative Frequency
Sampling
Regression
Statistics Review
Averages and Range
Variance
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. |