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Compare dot plots using center and spread
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Compare dot plots using center and spread
In this lesson you will learn how to compare two dot plots by analyzing the center and spread of the data sets.
ADDITIONAL MATERIALS
STANDARDS
CCSS.HSS-ID.A.2 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.
TEKS.S.3.D describe and model variability using population and sampling distributions.
TEKS.7.12.A compare two groups of numeric data using comparative dot plots or box plots by comparing their shapes, centers, and spreads;
TEKS.6.13.A interpret numeric data summarized in dot plots, stem-and-leaf plots, histograms, and box plots; and
TEKS.6.12.C summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measures of spread), and use these summaries to describe the center, spread, and shape of the data distribution; and
VA.DS.PS.2 The student will analyze numerical characteristics of univariate data sets to describe patterns and departures from patterns, using mean, median, mode, variance, standard deviation, interquartile range, range, and outliers.
VA.DS.PS.1 The student will analyze graphical displays of univariate data, including dotplots, stemplots, boxplots, cumulative frequency graphs, and histograms, to identify and describe patterns and departures from patterns, using central tendency, spread, clusters, gaps, and outliers.
VA.PS.8.12.c compare and analyze two data sets using boxplots.
FL.MAFS.912.S-ID.1.2 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.
In this lesson you will learn how to compare two dot plots by analyzing the center and spread of the data sets.
ADDITIONAL MATERIALS
STANDARDS
CCSS.HSS-ID.A.2 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.
TEKS.S.3.D describe and model variability using population and sampling distributions.
TEKS.7.12.A compare two groups of numeric data using comparative dot plots or box plots by comparing their shapes, centers, and spreads;
TEKS.6.13.A interpret numeric data summarized in dot plots, stem-and-leaf plots, histograms, and box plots; and
TEKS.6.12.C summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measures of spread), and use these summaries to describe the center, spread, and shape of the data distribution; and
VA.DS.PS.2 The student will analyze numerical characteristics of univariate data sets to describe patterns and departures from patterns, using mean, median, mode, variance, standard deviation, interquartile range, range, and outliers.
VA.DS.PS.1 The student will analyze graphical displays of univariate data, including dotplots, stemplots, boxplots, cumulative frequency graphs, and histograms, to identify and describe patterns and departures from patterns, using central tendency, spread, clusters, gaps, and outliers.
VA.PS.8.12.c compare and analyze two data sets using boxplots.
FL.MAFS.912.S-ID.1.2 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.