Reason Statistically

	Preparing Data for Analysis progression Most adults will be able to:read more	Analysing Data for Interpretation progression Most adults will be able to:read more	Interpreting Data to Predict and Conclude progression Most adults will be able to:read more	Probability progression Most adults will be able to:read more
1.	sort objects according to their attributes, organise data about the objects and represent data, using concrete objects or pictures. read more	describe parts of the data and the set of data as a whole to determine what the data show. read more	read more	identify all possible outcomes in situations involving simple (single-stage) chance use words to describe the likelihood of particular outcomes (events). read more
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3.	sort and organise category data and represent it, using tables, pictographs and bar graphs. read more	describe the general features of a data set. read more	make sensible statements based on the general features of a data set. read more	use fractions to express the probability of events recognise uncertainty in simple (singlestage) chance situations. read more
4.	sort, organise and represent data, using tables and graphs such as line plots, bar graphs and line graphs recognise the differences involved in representing category and numeric data. read more	describe the shape and important features of a sample data set (considering especially median and range) compare two or more samples. read more	draw conclusions and make predictions, based on evidence from the data. read more	use relative frequency to provide an estimate of the probability of an event use fractions, ratios and percentages to express probabilities compare the results of trials or observations with expectations based on models. read more
5.				determine the probabilities in simple multi-stage probability situations apply the law of large numbers to probability situations. read more
6.	sort, organise, clean and represent multi-variate data, making appropriate use of histograms, stem-and-leaf plots, box plots (box-and-whisker diagrams) and scatter plots graph time-series data. read more	find, use and interpret measures of centre and spread, including mean and interquartile range. read more	use observations based on samples to make conjectures about the populations from which the samples were taken. read more	determine the probabilities in more complex multi-stage chance situations apply the notion of ‘expected value’ to probability situations. read more