Displaying and Describing Univariate Data: Statistics: TI Math Nspired

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Displaying and Describing Univariate Data

Univariate data are quantitative if the individual observations are numerical values. In such contexts numerical operations generally have meaning, and the variables have units. In these lessons, students investigate measures of center and spread including standard deviation and the mean as the center of mass. Students identify and analyze important characteristics of graphs of data, consider how different representations of the same data are related, and create and describe dotplots, boxplots and histograms.

Statistics: Displaying and Describing Univariate Data Activities

Title
How to Make Histograms This lesson involves the interpretation of different types of histograms: frequency histograms, relative frequency histograms, and density histograms. Standards \| Textbook	4379	23
Analyzing Country Data In this activity, students will examine sample ages from three countries displayed in a spreadsheet and in relative frequency histograms that highlight the distinctive features of the distribution of the ages from each sample. Standards \| Textbook	4086	16
Boxplots Introduction This lesson involves representing distributions of data using boxplots. Standards \| Textbook	4556	16
Multiple Boxplots This lesson involves analyzing three parallel boxplots. Standards \| Textbook	3895	15
Center and Spread Students will recognize that the mean and standard deviation (SD) and the median and interquartile range (IQR) are two ways to measure center and spread. Standards \| Textbook	4480	11
Center of Mass Students will identify and interpret the mean geometrically as the location of the coins on the ruler such that the sum of the distances on either side of the mean is the same. Standards \| Textbook	3780	13
SD: Measure of Spread This lesson is intended as an introductory activity to the concept of standard deviation. Standards \| Textbook	3840	14
SD: How Far is Typical? This lesson involves gaining a basic understanding of what standard deviation is measuring by examining the location of data around the mean. Standards \| Textbook	3791	13

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