Investigate a given multivariate data set using the statistical enquiry cycle 4 credits Internal
Key tips from Study it:
 You need to use a calculator or computer for this achievement standard
 The emphasis is as much about applying statistical methods, and interpreting and communicating statistical information and ideas, as it is about the calculations you have made and graphs you have drawn.
 Excellence involves evaluation of your process and must relate to what you have done and why. You should make an inference about the population from the sample data and show an understanding of sampling variability and the context.
 To become familiar with the statistical enquiry cycle:
 Practise writing questions that will enable you to compare 2 appropriate sets of data
 Ensure your questions contain relevant details about each set of data that will enable you to come to a valid conclusion.
 Ensure the graphs you choose to draw enable you to make valid comparisons
 You do not necessarily have to find all measures of centre (mean, median, and mode) but you will have to decide on the most appropriate measures of centre/spread.
 There needs to be evidence to justify the conclusion made. It is expected that the conclusion is consistent with the approach of looking at the medians and the relative location of the ‘boxes’ (middle 50% of the data).
 A small difference between the medians relative to the overall visual spread might not enable a call to be made and this would need to be identified. In this case the consistent conclusion would be that it is not possible to make a call and this is the conclusion that would be expected at all levels.
BOOKLETS: 
OSEM scaffolded sheet: 
1.10 Multivariate booklet  thanks to Liz Sneddon


Box and Whisker Graphs & Stats to comment on:


EXEMPLARS:
l1multivariate_exemplar_popliteal_measurement.docx 
DATA SETS:




cas_practice_data.csv 