Use an electronic calculator; Undertake basic arithmetic operations; Rearrange equations; Work with decimals and percentages; Calculate and interpret absolute and relative change

Describe statistics and data analysis; Appreciate the importance of statistical reasoning in business and everyday life; Interpret critically numbers and statistics: draw warranted conclusions and spot flaws in arguments based on numbers and statistics; Appreciate the statistical investigative cycle; Distinguish between categorical (nominal, ordinal) and numerical (discrete, continuous) data, and between primary and secondary data; Tabulate data and interpret tables; Draw conclusions from tables, including Simpson's Paradox; Interpret different types of charts and graphs; Explain the terms population, sample and inference; Distinguish between and describe random and non-random sampling methods; Design a questionnaire; Outline the procedure to follow in conducting a sample survey; Describe experiments; Appreciate the business applications of big data and analytics; Appreciate ethical issues; Appreciate the role of information technology in collecting data

Recognise and explain variability; Calculate and interpret the mean, median and quartiles; Calculate and interpret the range and interquartile range; Calculate and interpret the variance and standard deviation; Interpret the shape of histograms and boxplots; Interpret output from spreadsheet and statistical software

Draw and interpret scatter diagrams, calculate and interpret the coefficient of linear correlation, the coefficient of determination and the line of linear regression, make and interpret predications using the line of linear regression, calculate and interpret correlation coefficient for ranked data; Identify the factors which affect a time series, calculate a moving average trend and seasonal variation, and forecast future values; Interpret output from spreadsheet and statistical software