2.02c Bivariate data c) Be able to interpret scatter diagrams and regression ML2 lines for bivariate data, including recognition of scatter diagrams which include distinct sections of the population. Learners may be asked to add to diagrams in order to interpret data, but not to draw complete scatter diagrams. [Calculation of equations of regression lines is excluded.] 2.02d d) Be able to understand informal interpretation of correlation. 2.02e e) Be able to understand that correlation does not imply causation. 2.02f Measures of f) Be able to calculate and interpret measures of central ML3 average and tendency and variation, including mean, median, mode, spread percentile, quartile, interquartile range, standard deviation and variance. Includes understanding that standard deviation is the root mean square deviation from the mean. Includes using the mean and standard deviation to compare distributions.
2.02c 2.02d 2.02e Bivariate data c) Be able to interpret scatter diagrams and regression lines for bivariate data, including recognition of scatter diagrams which include distinct sections of the population. Learners may be asked to add to diagrams in order to interpret data, but not to draw complete scatter diagrams. [Calculation of equations of regression lines is excluded.] d) Be able to understand informal interpretation of correlation. e) Be able to understand that correlation does not imply causation. ML2 2.02f Measures of average and spread f) Be able to calculate and interpret measures of central tendency and variation, including mean, median, mode, percentile, quartile, interquartile range, standard deviation and variance. Includes understanding that standard deviation is the root mean square deviation from the mean. Includes using the mean and standard deviation to compare distributions. ML3
421345-section-2.02-data-presentation-and-interpretation-delivery-guide.docx