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EngageNY
Describing Variability Using the Interquartile Range (IQR)
The 13th activity in a unit of 22 introduces the concept of the interquartile range (IQR). Class members learn to determine the interquartile range, interpret within the context of the data, and finish by finding the IQR using an...
EngageNY
Describing Center, Variability, and Shape of a Data Distribution from a Graphical Representation
What is the typical length of a yellow perch? Pupils analyze a histogram of lengths for a sample of yellow perch from the Great Lakes. They determine which measures of center and variability are best to use based upon the shape of the...
American Statistical Association
Who Has the Longest First Name?
Name that statistic! Classmates each write their name and the number of letters in it on a sticky note to place on the board. As a class, they determine the median, mode, and range of the name lengths, and create a dot plot of the data....
EngageNY
Summarizing a Data Distribution by Describing Center, Variability, and Shape
Put those numbers to work by completing a statistical study! Pupils finish the last two steps in a statistical study by summarizing data with displays and numerical summaries. Individuals use the summaries to answer the statistical...
Curated OER
Drive the Data Derby
Three days of race car design and driving through the classroom while guessing probability could be a third graders dream. Learn to record car speed, distances traveled, and statistics by using calculation ranges using the mean, median,...
K20 LEARN
You’re The Network: Data Analysis
How do you rate? Young scholars use graphical data to analyze ratings of different television episodes. Their analyses include best-fit lines, mean, median, mode, and range.
Curated OER
Flicking Football Fun
Young mathematicians fold and flick their way to a deeper understanding of statistics with a fun, hands-on math unit. Over the course of four lessons, students use paper footballs to generate data as they learn how to create line...
Curated OER
Button Bonanza
Collections of data represented in stem and leaf plots are organized by young statisticians as they embark some math engaging activities.
American Statistical Association
Armspans
Young mathematicians collect data on the arm spans of classmates. Then they sort the data by measures of center, spread, and standard deviation. Finally, they compare groups, such as boys and girls, to interpret any differences.
Curated OER
Under the Weather
Students review mean, median, mode, and range while using the newspaper to answer weather questions.
Curated OER
Describing Data
Your learners will practice many ways of describing data using coordinate algebra in this unit written to address many Common Core State Standards. Simple examples of different ways to organize data are shared and then practice problems...
EngageNY
Understanding Box Plots
Scholars apply the concepts of box plots and dot plots to summarize and describe data distributions. They use the data displays to compare sets of data and determine numerical summaries.
American Statistical Association
Tell it Like it is!
Scholars apply prior knowledge of statistics to write a conclusion. They summarize using correct academic language and tell the story of the data.
Virginia Department of Education
Exploring Statistics
Collect and analyze data to find out something interesting about classmates. Groups devise a statistical question and collect data from their group members. Individuals then create a display of their data and calculate descriptive...
Mathematics Vision Project
Modeling Data
Is there a better way to display data to analyze it? Pupils represent data in a variety of ways using number lines, coordinate graphs, and tables. They determine that certain displays work with different types of data and use...
EngageNY
More Practice with Box Plots
Don't just think outside of the box — read outside of it! The 15th lesson in a 22-part unit provides pupils more work with box plots. Learners read the box plots to estimate the five-number summary and interpret it within the context....
EngageNY
Comparing Distributions
Data distributions can be compared in terms of center, variability, and shape. Two exploratory challenges present data in two different displays to compare. The displays of histograms and box plots require different comparisons based...
National Museum of Mathematics
Hands-On Data Analysis
Jump at the chance to use this resource. A kinesthetic activity has classmates jumping in several different ways (standing, single-step, and multiple-step jumps) to create handprints on poster paper taped to the wall. They measure the...
Curated OER
Mean and Standard Deviation
Get two activities with one lesson. The first lesson, is appropriate for grades 6-12 and takes about 20 minutes. It introduces the concept of measures of central tendency, primarily the mean, and discusses its uses as well as its...
Workforce Solutions
30 Seconds
Thirty seconds are all scholars have to develop an engaging commercial to showcase their talents and experience within a specific occupation. Pairs work collaboratively to keep each other on time to deliver information speedily and ask...
Odell Education
Calculating Measures of Dispersion
Double the fun — calculate two measures of deviation. The lesson plan provides information to lead the class through the process of calculating the mean absolute deviation and the standard deviation of a data set. After learning how to...
Radford University
Analyzing Data from Peer Survey
We all want to know what we're thinking. Scholars analyze and report data collected in a previous survey on peer attitudes toward current events. They calculate the mean, median, range, and standard deviation before creating histograms...
Curated OER
The Seasonal Round and The Cycle of Life
Fourth graders are introduced to the concept of the seasonal round and how folklife traditions vary from season to season. They begin charting dates of personal interest on seasonal round calendars by starting with birthdays. Students...
Curated OER
Statistics Newscast in Math Class
Students study sports teams, gather data about the teams, and create a newscast about their data. In this sports analysis lesson, students research two teams and define their statistical data. Students compare the two teams, make...
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