YEAR 9 : handling data

• Suggest possible answers for a given problem

• Discuss a problem and identify related questions

• Suggest a problem and identify questions/conjectures

• Decide which data and sources would be relevant

• Decide which data and sources are needed

• Discuss how data relates to problem and sources of data

• Identify possible sources of bias and how to minimise

• Plan how to collect and organise small sets of data

• Plan how to collect data, including sample size

• Plan/design survey/experiment to capture data

• Design a data collection sheet or questionnaire

• Design, trial and refine data collection sheets

• Construct frequency tables for discrete data
• Construct frequency tables for grouped data

• Construct frequency tables for continuous data

• Construct tables for large sets of raw data 

• Design and use two way tables for discrete data

• Design and use two-way tables

• Collect small sets of data from surveys and experiments

• Collect data using a suitable method 

• Gather data from specified secondary sources

• Identify extra info. needed to pursue further enquiry

• Find the mode, median and range

• Calculate statistics, including with a calculator

• Calculate and select appropriate summary values

• Find the modal class for grouped data

• Find the median for large data sets

• Calculate mean, including from simple frequency tables

• Appropriate use of measures of average and spread

• Estimate the mean for large sets of grouped data

• Construct and use stem and leaf diagrams

• Construct frequency polygons (ICT)

• Construct graphs and diagrams on paper or using ICT
• Use ICT to construct pie charts

• Construct pie charts (ICT)
• Use bar charts and frequency diagrams (ICT)

• Use bar charts and frequency diagrams (ICT)

• Construct simple line graphs (ICT)

• Construct simple line graphs (ICT)

• Construct simple scatter diagrams (ICT)

• Construct scatter diagrams and discuss correlation (ICT)

• Identify the most useful representation of data

• Identify the most appropriate representation of data

• Identify the key features present in the data

• Interpret diagrams and graphs

• Interpret tables, diagrams and graphs - relate to problem

• Interpret tables, diagrams and graphs - relate to problem

• Analyse data to find patterns and exceptions

• Look for cause and effect and try to explain anomalies

• Compare two distributions using range and an average

• Compare two distributions using range and an average

• Compare 2+ distributions using shape, range and average

• Write a short report of a statistical enquiry

• Write a report of a statistical enquiry

• Communicate interpretations/results of a statistical enquiry

• Examine critically the results of a statistical enquiry

• Use vocabulary and ideas of probability

• Use vocabulary and ideas of probability

• Use vocabulary of probability

• Appreciate that random processes are unpredictable

• Understand and use the probability scale from 0 to 1

• Know sum of probabilities of m.e. outcomes is 1 or 100%

• Know sum of probabilities of m.e. outcomes is 1 or 100%

• Find/justify probabilities based on equally likely outcomes

• Find and record all possible outcomes systematically

• Identify all mutually exclusive outcomes of an experiment

• Use diagrammatic and tabular forms of presentation

• Estimate probabilities based on experimental data

• Appreciate effect of sample size on experimental prob.

• Estimate probabilities from experimental data
• Understand relative frequency as an estimate of probability

• Compare experimental and theoretical probabilities

• Compare experimental and theoretical probabilities

• Compare experimental and theoretical probabilities

• Appreciate difference between explanation and evidence