Common Core: Statistics & Probability
7.SP.C6
Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably … Read More “7.SP.C6”
October 1, 20187.SP.B4
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.
October 1, 20187.SP.B3
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the … Read More “7.SP.B3”
October 1, 20187.SP.A2
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the … Read More “7.SP.A2”
October 1, 20187.SP.A1
Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
October 1, 20186.SP.B5d
Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
October 1, 20186.SP.B5c
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
October 1, 20186.SP.B5b
Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
October 1, 20186.SP.A1
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.
October 1, 20186.SP.B4
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
October 1, 2018