LCHL The purpose of Statistics and the Data Handling Cycle
The use of statistics to gather information from a selection of the population with the intention of making generalisations about the whole population. Formulating a statistics question based on data that vary, allowing for distinction between different types of data.
I should be able to:
Foundation Level
− clarify the problem at hand
− formulate one (or more) questions that can be answered with data
− explore different ways of collecting data
− generate data, or source data from other sources including the internet
− select a sample (Simple Random Sample)
− recognise the importance of representativeness so as to avoid biased samples
− design a plan and collect data on the basis of above knowledge
– summarise data in diagrammatic form, including data presented in spreadsheets
Ordinary Level
− select a sample (Simple Random Sample)
– recognise the importance of representativeness so as to avoid biased samples
– discuss different types of studies: sample surveys, observational studies and designed experiments
– design a plan and collect data on the basis of above knowledge
Higher Level
– recognise the importance of randomisation and the role of the control group in studies
– recognise biases, limitations and ethical issues of each type of study
– select a sample (stratified, cluster, quota – no formulae required, just definitions of these)
– design a plan and collect data on the basis of above knowledge
Junior Cert Review: Statistics Mind Map
Leaving Cert Ordinary Level: Statistics Mind Map
Leaving Cert Higher Level: Statistics Mind Map
Types of Data and How to handle it
Video: Showing biased questions