3 3.2.3 B1c Understand the terms ‘explanatory’ / ‘response’ and ‘dependent’ / ‘independent’ (through use of examples) 1 P8 3 3.2.5 B2b Understand the difference between a census and a sample, possibly referencing the National Census as an example 1 4 3.2.5 B2b 3.5.4 E2a Understand different of experiments and observation including the implications for level of control Understand that comparing outcomes with predictions can be used to identify possible bias in the design 1 4 3.2.5 B2b 3.5.10 E3d Understand how to reference and interpret secondary sources – working online if possible to interrogate well known national sources of data including the Office for National Statistics and government 1
9 3.4.1 D1a Understand how to calculate an estimate of the mean for a grouped frequency distribution including why it is an estimate 1 S4 9 3.4.1 D1a 3.4.2 D1b Understand how to calculate a geometric mean and the circumstances in which this is a better measure than arithmetic mean 1 9 3.5.7 E3a Comparing two data sets through the comparison of their means (in context) 1 S5 10 3.4.1 D1a 3.5.7 E3a Understand how to calculate the median for a set of data and how to compare two data sets through the comparison of their medians (in context) 1 S4, S5 10 3.4.1 D1a Understand how to identify the median for tabulated discrete data 1 S4 10 3.4.1 D1a Understand how to estimate the median for a grouped frequency distribution (calculation methods) 1 S4
3 3.3.3 C2 Understand how to construct a cumulative frequency step polygon for a discrete frequency distribution 2 3/4 3.3.3 C2 3.4.1 D1a 3.4.4 D3a Understand how to obtain estimates of median and range from different cumulative frequency graphs and comparing the results in context 2 S4h 4 3.3.3 C2 3.4.4 D3a Understand how to obtain estimates of inter-decile range and inter-percentile range from different cumulative frequency graphs and comparing the results in context 1 4 3.4.4 D3a Understand the concept of standard deviation and what it is measuring 1 5 3.4.4 D3a Understand how to calculate standard deviation for a list of values 1 5 3.4.4 D3a 3.4.1 D1a Understand how to calculate standard deviation (and mean) using Sigma notation and frequency tables 2
6 3.5.19 E8a Understand the meaning of the terms ‘interpolation’ and ‘extrapolation’ and their relative reliability. 1 S6 6 3.5.19 E8a 3.5.20 E8b Understand all the vocabulary surrounding correlation for type and strength 1 S6 6 3.5.21 E8c Understand that correlation does not necessarily imply causation and that other factors may or will interact 1 S6 7 3.5.19 E8b 3.5.22 E9a Understand the Spearman’s –1 to +1 scale to strength of correlation as outlined in the specification and interpreting results in context 1 7 3.4.8 D6 3.5.22 E9a Understand how to calculate Spearman’s correlation coefficient using the formula (or by calculator as this is acceptable in assessments) 1
4 3.5.25 E10a Understand how to comment on differences between experimental and theoretical values in an experiment in the context of possible bias 1 4 All probability and related work Review of work done on probability 1 5 All probability and related work Optional assessment on probability 1 5 3.5.26 E10b Understand the basic conditions for a binomial distribution to be valid and the features of the distribution 1 5/6 3.5.26 E10b Understand the method of calculating probabilities for a binomial situation for n up to and including 5 (using formula if desired) 2 6 3.5.27 E11a Understand the general features of a Normal distribution and its common place in real data 1