### Grades / Levels

### Standards

Code | Grade | Cluster | Standard | Object Count |
---|---|---|---|---|

S-ID.1 | High School - Statistics and Probability | Summarize, represent, and interpret data on a single count or measurement variable | Represent data with plots on the real number line (dot plots, histograms, and box plots). | 1 |

S-ID.2 | High School - Statistics and Probability | Summarize, represent, and interpret data on a single count or measurement variable | Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. | 0 |

S-ID.3 | High School - Statistics and Probability | Summarize, represent, and interpret data on a single count or measurement variable | Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). | 0 |

S-ID.4 | High School - Statistics and Probability | Summarize, represent, and interpret data on a single count or measurement variable | 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. | 0 |

S-ID.5 | High School - Statistics and Probability | Summarize, represent, and interpret data on two categorical and quantitative variables | 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. | 0 |

S-ID.6 | High School - Statistics and Probability | Summarize, represent, and interpret data on two categorical and quantitative variables | Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. a. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models. b. Informally assess the fit of a function by plotting and analyzing residuals. c. Fit a linear function for a scatter plot that suggests a linear association. | 0 |

S-ID.7 | High School - Statistics and Probability | Interpret linear models | Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. | 1 |

S-ID.8 | High School - Statistics and Probability | Interpret linear models | Compute (using technology) and interpret the correlation coefficient of a linear fit. | 0 |

S-ID.9 | High School - Statistics and Probability | Interpret linear models | Distinguish between correlation and causation. | 1 |