7 Use a two-way table, tree diagram or Venn diagram to calculate conditional probability Decide if two events are independent Construct and interpret histograms Estimate the mean from a histogram Compare median and inter-quartile range of two distributions From a cumulative frequency graph estimate frequency greater/less than a given value Work out the size of each group in a stratified sample 6 Construct and interpret cumulative frequency graphs Find the median, quartiles and interquartile range for large data sets with grouped data Compare the measures of spread between a pair of box plots/cumulative frequency graphs Know what is meant by stratified sampling 5 Find a missing probability from a list or two-way table including algebraic terms Use tree diagrams to calculate the probability of two dependent events Construct cumulative frequency tables Interpret box plots to find median, quartiles, range and interquartile range and draw conclusions Produce box plots from raw data and identify outliers when given quartiles and median Use random numbers to get a sample 4 Record outcomes of events in a Venn Diagram Use more complex two way tables Construct frequency diagrams for grouped discrete data Find the median, mode and range from a stem and leaf diagram Find an estimate for the mean from a grouped frequency table Understand how sources of data may be biased Know the definition of random sampling Draw a line of best fit by eye and understand what it represents Understand that correlation does not imply causality Distinguish between positive, negative and zero correlation Use a line of best fit to predict values Describe the relationship between two variables 3 Draw a probability tree diagram Use tree diagrams to calculate the probability of two independent events Use and draw sample space diagrams Draw a frequency tree based on given information and use this to find probability and expected outcome Produce ordered stem and leaf diagrams (including back to back) Construct and use frequency polygons to compare sets of data Identify and explain anomalies (outliers) in a data set Recognise quantitative and qualitative data Identify possible sources of bias and plan to minimise it Understand what is meant by a sample and a population Understand primary and secondary data sources 2 Work out the probability of an event NOT happening Estimate the number of times an event will occur, given probability and number of trials Compare experimental and theoretical probabilities Record outcomes of events in a table Work out probabilities from frequency tables and two-way tables Construct grouped frequency tables Design a question for a questionnaire Criticise questions for a questionnaire Draw and interpret a scatter graph 1 Know that the probabilities of exhaustive events sum to 1 Identify all the mutually exclusive outcomes of an event Calculate relative frequencies and use them to calculate expected outcomes Find probabilities for equally likely outcomes Know which is the best graph or chart to use Interpret data in a simple table Interpret frequency tables Group data in equal class intervals Design and use data collection sheets Complete a two-way table Draw pie charts Compare two simple distributions using range and median Compare two simple distributions using range and mean Calculate the mean from a simple frequency table Know which is the best average to use and when to use range Find range, modal class, interval containing the median and an estimate of the mean from a grouped frequency table From a pie chart find the mode and total frequency W3 Use a probability scale with words Mark events on a probability scale Interpret line graphs Represent data in a table Draw and interpret bar charts (including dual bar charts) Draw pictograms Calculate the mean, median, mode and range from a list of data Find the modal class for a small set of grouped data Compare two simple distributions using range and mode Interpret simple pie charts W2 Find the range of a small set of unordered data W1 Find range from a set of ordered data