• Represent data with plots on the real number line (dot plots, histograms, and box plots).
• 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.
• Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
• Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
• Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
• Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
• Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.
• Evaluate reports based on data.
• Represent data with plots on the real number line (dot plots, histograms, and box plots).
• 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.
• Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
• Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
• Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
• Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
• Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.
• Evaluate reports based on data.