Overview
Aim
The aim of this unit is to provide learners with a fundamental awareness of key statically measures with a focus on how statistical data can be represented.
Unit Learning Outcomes
1
Be able to use numerical measures, graphs and diagrams.
- Statistical diagrams
Bar charts; cumulative frequency diagrams; holograms; scatter diagrams; pie charts; histograms; line graphs. - Averages;
Mean, median and mode of a data set. - Spread
Standard deviation (SD) of raw and grouped data; using mean and SD to compare data sets; outliers.
Assessment Criteria
-
1.1
Interpret statistical diagrams.
-
1.2
Calculate and use averages.
-
1.3
Calculate and use measures of spread.
2
Be able to organise and present data.
- Types
Qualitative; quantitative; discrete; continuous.
- Charts and diagrams
Bar charts; cumulative frequency diagrams; holograms; scatter diagrams; pie charts; histograms; line graphs.
Assessment Criteria
-
2.1
Organise types of data as qualitative, quantitative, discrete or continuous.
-
2.2
Construct suitable charts and diagrams for presenting data to others.
3
Be able to calculate probability.
- Probabilities
Single; independent; mutually exclusive; conditional probabilities. - Diagrams
Tree; Venn; two-way tables.
Assessment Criteria
-
3.1
Calculate and compare probabilities.
-
3.2
Interpret probabilities using diagrams.
-
3.3
Use language and symbols appropriate to probability.
4
Be able to correlate data.
- Calculate
Spearman’s correlation coefficient; Pearson’s correlation coefficient.
Assessment Criteria
-
4.1
Calculate the correlation between data.