Work through the list without notes. If you cannot do a statement, follow its link, then come back. Guide = study guide; Practice = practice questions.
Understanding
- I can explain why statistics is needed when the answer to a question varies from one individual to another. (Guide: “What can we learn from data?”)
- I can describe what a statistical study is: data from a sample used to answer a question about a larger population. (Guide: “The parts of a statistical study”)
- I can give reasons a study uses a sample, such as size, cost, difficulty or measurements that destroy the item. (Guide: “Why use a sample?”; Practice Q7)
- I can explain why a sample result is not exactly the value for the whole population. (Guide: “Writing in context”; Practice Q7)
Skills
- I can identify the population and the sample in a described study, including when the individuals are not people. (Guide: Worked example 1; Practice Q1, Q5)
- I can state N and n correctly and never swap them. (Practice Q3, Q5, Q7)
- I can give an example of a datum and describe the data set for a study. (Guide: Worked example 1; Practice Q5)
- I can decide whether a question needs a statistical investigation to answer it. (Guide: “What makes a good investigative question?”; Practice Q2)
Reasoning
- I can judge whether an investigative question has a clear purpose and asks for data that can be collected and analysed, and rewrite it if not. (Guide: Worked example 2; Practice Q6)
- I can explain why the investigative question must not be changed after the data are analysed. (Guide: Worked example 2; Practice Q4)
- I can state a result in context, naming the individuals, what was recorded and the units. (Guide: “Writing in context”; Practice Q5, Q7)
All ticked? Move on to Topic 1.2: Variables, or return to the course roadmap.