Unit 1: Inference and Conclusions from Data

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Presentation transcript:

Unit 1: Inference and Conclusions from Data MCC9-12.S.ID.2 – Use statistics appropriate to the shape of the data distribution to compare center (mean, median), and spread (IQR, range, standard deviation) of two or more different data sets. Measures of Center Mean: add all the values and divide by the number of data values Median: middle value of an ordered set of data

Shape – look at a histogram, dotplot, or boxplot of the data When looking at the distribution of a set of data, you want to focus on the center and 2 other key characteristics: Shape Spread Shape – look at a histogram, dotplot, or boxplot of the data Symmetric Skewed Left Skewed Right

* Start soccer activity * Boxplots – focus on “whiskers” Symmetric Skewed Left Skewed Right * Start soccer activity *

*complete soccer activity * Spread – this measures how much your data varies from the center of its distribution Mean Absolute Deviation Variance Standard Deviation *complete soccer activity *

* Work on Math Award Task * When you compare the distribution of two or more sets of data, you want to compare all 3 of these characteristics. Center Shape Spread Be sure to use comparison words…greater, less, approximately equal, etc. * Work on Math Award Task *