Data distributions

0 of 29 topics done

Data types and categorical displays

1Classify a variable as nominal, ordinal, discrete or continuousOpen, set of 8Lesson Practice

2Build a frequency and percentage frequency tableOpen, set of 8Lesson Practice

3Build a bar chart from a frequency tableOpen, set of 8Lesson Practice

4Construct or read a percentage segmented bar chartOpen, set of 8Lesson Practice

Interpreting categorical displays

5Read values from a frequency table or bar chartOpen, set of 8Lesson Practice

6Report on the distribution of a categorical variableOpen, set of 8Lesson Practice

Numerical frequency tables and histograms

7Group numerical data into class intervalsOpen, set of 8Lesson Practice

8Construct a histogram from a frequency tableOpen, set of 8Lesson Practice

9Read values from a histogramOpen, set of 8Lesson Practice

10Choose an appropriate display for a variableOpen, set of 8Lesson Practice

Distribution shape and plots

11Describe the shape of a distributionOpen, set of 8Lesson Practice

12Construct a dot plot from raw dataOpen, set of 8Lesson Practice

13Construct an ordered stem plot from raw dataOpen, set of 8Lesson Practice

Measures of centre

14Find the mean and the median, and choose between themOpen, set of 8Lesson Practice

15Find measures of centre from a frequency displayOpen, set of 8Lesson Practice

Measures of spread

16Work backwards from a mean or medianOpen, set of 8Lesson Practice

17Find the range, the quartiles and the IQROpen, set of 8Lesson Practice

18Calculate the standard deviation from the formulaOpen, set of 8Lesson Practice

Standard deviation and the empirical rule

19Apply the 68–95–99.7% ruleOpen, set of 8Lesson Practice

Box plots and outliers

20Produce a five-number summary and construct a boxplotOpen, set of 8Lesson Practice

21Find the fences and identify outliersOpen, set of 8Lesson Practice

22Read values and percentages from a boxplotOpen, set of 8Lesson Practice

Comparing distributions across groups

23Compare a numerical variable across groupsOpen, set of 8Lesson Practice

Logarithmic scales

24Transform and interpret a distribution on a base-10 log scaleOpen, set of 8Lesson Practice

Normal models and standardised values

25Decide whether the normal model is applicableOpen, set of 8Lesson Practice

26Calculate a standard score or actual valueOpen, set of 8Lesson Practice

27Compare observations from different distributions using z-scoresOpen, set of 8Lesson Practice

28Use z-score boundaries to estimate normal-model percentages and countsOpen, set of 8Lesson Practice

29Infer a normal-model mean or standard deviationOpen, set of 8Lesson Practice