EngageNY
Creating a Histogram
Display data over a larger interval. The fourth segment in a 22-part unit introduces histograms and plotting data within intervals to the class. Pupils create frequency tables with predefined intervals to build histograms. They describe...
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.
Inside Mathematics
Population
Population density, it is not all that it is plotted to be. Pupils analyze a scatter plot of population versus area for some of the states in the US. The class members respond to eight questions about the graph, specific points and...
EngageNY
Describing Variability Using the Interquartile Range (IQR)
The 13th instructional 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...
Shodor Education Foundation
Regression
How good is the fit? Using an interactive, classmates create a scatter plot of bivariate data and fit their own lines of best fit. The applet allows pupils to display the regression line along with the correlation coefficient. As a final...
Code.org
Creating Summary Tables
Let the computer summarize all that data. Pairs work together to learn how to create pivot tables by following directions in the online module. They then utilize the data collected from the beginning of the unit to create their own...
EngageNY
Describing the Center of a Distribution Using the Median
Find the point that splits the data. The instructional activity presents to scholars the definition of the median through a teacher-led discussion. The pupils use data lists and dot plots to determine the median in sets with even and odd...
Statistics Education Web
The United States of Obesity
Mississippi has both the highest obesity and poverty rate in the US. Does the rest of the data show a correlation between the poverty and obesity rate in a state? Learners tackle this question as they practice their skills of regression....
Virginia Department of 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...
Workforce Solutions
Miniature Gulf Coast Project
Scholars show what they know about data collection and analysis with an activity that examines a smaller population of Houghton, Texas. Independently or in pairs, learners identify their research question, gather, graph, and analyze...
Virginia Department of Education
Linear Curve of Best Fit
Is foot length to forearm length a linear association? The class collects data of fellow scholars' foot length and the length of their forearms. They plot the data and find a line of best fit. Using that line, they make predictions of...
Kenan Fellows
Least Squares Linear Regression in R
The task? Determine the how effective hospitals are at reducing the rate of hospital-acquired infections. The method? Data analysis! Using an open source software program, individuals use provided data and create scatterplots to look for...
EngageNY
Calculating Probabilities of Events Using Two-Way Tables
Tables are useful for more than just eating. Learners use tables to organize data and calculate probabilities and conditional probabilities.
NOAA
The Oceanographic Yo-yo
How does chemistry help deep-sea explorers? Part four of a five-part series of lessons from aboard the Okeanos Explorer introduces middle school scientists to technologies used in ocean exploration. Groups work together to analyze data...
Concord Consortium
Gestation and Longevity
Is the gestation length of an animal a predictor of the average life expectancy of that animal? Learners analyze similar data for more than 50 different animals. They choose a data display and draw conclusions from their graphs.
EngageNY
Estimating Probabilities by Collecting Data
Take a spin to determine experimental probability. Small groups spin a spinner and keep track of the sums of the spins and calculate the resulting probabilities. Pupils use simulated frequencies to practice finding other probabilities to...
Concord Consortium
Flying High
Some planes are just more efficient than others. Young mathematicians use data on the number of seats, airborne speed, flight length, fuel consumption, and operating cost for airplanes to analyze their efficiency. They select and use...
Curated OER
Interpreting and Displaying Sets of Data
Students explore the concept of interpreting data. In this interpreting data lesson, students make a line plot of themselves according to the number of cubes they can hold in their hand. Students create their own data to graph and...
National Security Agency
Line Graphs: Gone Graphing
Practice graphing and interpreting data on line graphs with 36 pages of math activities. With rationale, worksheets, and assessment suggestions, the resource is a great addition to any graphing unit.
Curated OER
The Gathering and Analysis of Data
Young mathematicians gather data on a topic, graph it in various forms, interpret the information, and write a summary of the data. They present their data and graphs to the class.
Curated OER
Data Analysis of Ground Level Ozone
Sixth graders construct and interpret graphs from ozone data collected in Phoenix area. Can be adapted to other areas.
Curated OER
Analyzing Discrete and Continuous Data in a Spreadsheet
You are what you eat! Your statisticians keep a log of what they eat from anywhere between a day to more than a week, keeping track of a variety of nutritional information using a spreadsheet. After analyzing their own data, individuals...
Curated OER
Rockin' Data
Fifth graders are given the questions, "What type of music would you suggest the manager place in front of the store?". Students collect data by talking with 20 adults and create a bar graph on the computer to present the data.
Curated OER
Data, Data, Everywhere... and What Am I To Think?
Students demonstrate good random sampling techniques for data collection, select and develop graphic presentations of data and analyze the data to solve a problem presented.
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