Statistics and Probability
I can recognize that data has variability. 6.SP.1
I can recognize a statistical question (examples vs. non-examples). 6.SP.1
Practice Using Statistical Questions Here
I can identify that a set of data has distribution. 6.SP.1
I can describe a set of data by its center, e.g., mean and median. 6.SP.2
I can describe a set of data by its spread and overall shape, e.g., by identifying data clusters, peaks, gaps and symmetry 6.SP.2
I can recognize there are measures of central tendency for a data set, e.g., mean, median, mode. 6.SP.3
Learn more about mean, median, and mode
I can recognize there are measures of variances for a data set, e.g., range, interquartile range, mean and absolute deviation. 6.SP.3
I can recognize that measure of central tendency for a data set summarizes the data with a single number. 6.SP.3
I can recognize that measures of variation for a data set describe how its values vary with a single number. 6.SP.3
I can identify the components of dot plots, histograms, and box plots. 6.SP.4
I can find the median, quartile and interquartile range of a set of data. 6.SP.4
I can analyze a set of data to determine its variance. 6.SP.4
standard deviation and variance
I can create a dot plot to display a set of numerical data. 6.SP.4
I can create a histogram to display a set of numerical data. 6.SP.4
I can create a box plot to display a set of numerical data. 6.SP.4
I can report the number of observations in a data set or display. 6.SP.5
I can organize and display data in tables and in graphs. 6.SP.5
I can describe the data being collected, including how it was measured and its units of measurement. 6.SP.5
I can calculate quantitative measures of center, e.g.; mean , median, mode. 6.SP.5
I can chose the appropriate measure of central tendency to represent the data. 6.SP.5
I can identify outliers. 6.SP.5
I can determine the effect of outliers on quantitative measures on a set of data, e.g., mean, median, mode, range, interquartile range, mean absolute deviation. 6.SP.5
I can analyze the shape of the data distribution and the context in which the data was gathered to chose the appropriate measures of central tendency and variability and justify why this measure is appropriate in terms of the context. 6.SP.5