5.S.ID.2 Use statistics appropriate to the of the CC.S.ID.2 Understanding there data distribution to compare center are no measures “true” (median, mean) and spread (interquartile for statistical quantities range, standard deviation) of two or more (i.e., home values, different data sets. expected wages, expected prices, expected profits or losses) 5.S.ID.3 Interpret differences in center, and CC.S.ID.3 Understanding there spread in the context of the data sets, CCR.S.ID.E are no measures “true” accounting for possible effects of extreme for statistical quantities data points (outliers). (i.e., home values, expected wages, expected prices, expected profits or losses) 5.S.ID.4 Use the mean and standard deviation of a CC.S.ID.4 Tracking one’s daily data set to fit it to a normal distribution ESS04.07.01 expenses personal and to estimate population percentages. financial choices to Recognize that there are data sets for data from an ideal which such a procedure is not spender’s purchase appropriate. Use calculators, log spreadsheets, and tables to estimate areas under the normal curve. Summarize, represent, and interpret data on two categorical and quantitative variables. 5.S.ID.5 Summarize categorical data for two CC.S.ID.5 Looking at reports on categories in two-way frequency tables. CCR.S.ID.E stock market to see if Interpret relative frequencies in the they reflect the trends context of the data (including joint, represented marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.*
5.S.ID.2 Use statistics appropriate to the of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. CC.S.ID.2 Understanding there are no “true” measures for statistical quantities (i.e., home values, expected wages, expected prices, expected profits or losses) 5.S.ID.3 Interpret differences in center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). CC.S.ID.3 CCR.S.ID.E Understanding there are no “true” measures for statistical quantities (i.e., home values, expected wages, expected prices, expected profits or losses) 5.S.ID.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve. CC.S.ID.4 ESS04.07.01 Tracking one’s daily expenses personal financial choices to data from an ideal spender’s purchase log Summarize, represent, and interpret data on two categorical and quantitative variables. 5.S.ID.5 Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.* CC.S.ID.5 CCR.S.ID.E Looking at reports on stock market to see if they reflect the trends represented
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