frequencies should be plotted at the upper bound of the interval. Percentiles are estimated from grouped data. Interpolation is used to find values between two points. 8 Displaying and interpreting data Interpret and draw histograms L1 Interpret diagrams for 12.3 – – data, including DS 12.5 histograms understanding that area in a Ex 12.3B Students plot histograms and look at the histogram represent frequency distribution of the data. They apply what they have learnt to Data set activity 12.5, creating a histogram and performing linear interpolation. 9 Displaying and interpreting data Describe correlation using terms L2 understand informal 12.3 – – such as positive, negative, zero, interpretation of correlation DS 12.6 scatter graphs strong and weak L2 interpret scatter diagrams Ex 12.3C – Students plot scatter diagrams with and regression lines for bivariate bivariate data and look for a correlation in data, including recognition of the data. Students are introduced to the scatter diagrams which include distinct sections of the population concept of spurious correlation. (calculations involving regression In Data set activity 12.6 students display a lines are excluded) selection of data in a scatter graph and L2 understand that correlation – use their data interpretation skills to does not imply causation identify outliers and comment on trends. Use and interpret the equation of a 10 Displaying and interpreting data L2 interpret scatter diagrams Gradients and intercepts 12.3 – – regression line using statistical and regression lines for bivariate were covered in Chapter 4 DS 12.7 regression lines, lines of best fit, functions on your calculator and data, including recognition of Coordinate geometry 1: Ex 12.3D interpolation and extrapolation make predictions within the range of scatter diagrams which include Equations of straight values of the explanatory variable Having plotted scatter diagrams in the distinct sections of the population and understand the dangers of previous lesson students go on to look at (calculations involving regression extrapolation lines are excluded) the link between the line of best fit and L2 understand that correlation b regression line, where is the gradient – does not imply causation a and is the y-intercept. Equations of regression lines are then explored. This is then used for interpolation and
frequencies should be plotted at the upper bound of the interval. Percentiles are estimated from grouped data. Interpolation is used to find values between two points. 8 Displaying and interpreting data – histograms Students plot histograms and look at the distribution of the data. They apply what they have learnt to Data set activity 12.5, creating a histogram and performing linear interpolation. Interpret and draw histograms L1 – Interpret diagrams for data, including understanding that area in a histogram represent frequency 12.3 DS 12.5 Ex 12.3B 9 Displaying and interpreting data – scatter graphs Students plot scatter diagrams with bivariate data and look for a correlation in the data. Students are introduced to the concept of spurious correlation. In Data set activity 12.6 students display a selection of data in a scatter graph and use their data interpretation skills to identify outliers and comment on trends. Describe correlation using terms such as positive, negative, zero, strong and weak L2 – understand informal interpretation of correlation L2 – interpret scatter diagrams and regression lines for bivariate data, including recognition of scatter diagrams which include distinct sections of the population (calculations involving regression lines are excluded) L2 – understand that correlation does not imply causation 12.3 DS 12.6 Ex 12.3C 10 Displaying and interpreting data – regression lines, lines of best fit, interpolation and extrapolation Having plotted scatter diagrams in the previous lesson students go on to look at the link between the line of best fit and regression line, where b is the gradient and a is the y-intercept. Equations of regression lines are then explored. This is then used for interpolation and Use and interpret the equation of a regression line using statistical functions on your calculator and make predictions within the range of values of the explanatory variable and understand the dangers of extrapolation L2 – interpret scatter diagrams and regression lines for bivariate data, including recognition of scatter diagrams which include distinct sections of the population (calculations involving regression lines are excluded) L2 – understand that correlation does not imply causation Gradients and intercepts were covered in Chapter 4 Coordinate geometry 1: Equations of straight 12.3 DS 12.7 Ex 12.3D