6.NR.2

Apply operations with whole numbers, fractions and decimals within relevant applications.

6.NR.2.1Describe and interpret the center of the distribution by the equal share value (mean).6.NR.2.2Summarize categorical and quantitative (numerical) data sets in relation to the context: display the distributions of quantitative (numerical) data in plots on a number line, including dot plots, histograms, and box plots and display the distribution of categorical data using bar graphs.6.NR.2.3Interpret numerical data to answer a statistical investigative question created. Describe the distribution of a quantitative (numerical) variable collected, including its center, variability, and overall shape.6.NR.2.4Design simple experiments and collect data. Use data gathered from realistic scenarios and simulations to determine quantitative measures of center (median and/or mean) and variability (interquartile range and range). Use these quantities to draw conclusions about the data, compare different numerical data sets, and make predictions.6.NR.2.5Relate the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.6.NR.2.6Describe the impact that inserting or deleting a data point has on the mean and the median of a data set. Create data displays using a dot plot or box plot to examine this impact.
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