Curated OER
Nutria And The Disappearing Marsh
Young analysts examine changes in the nutria population, vegetation density, and marsh area over time in the wetlands of Louisiana. They import data and use the TI-73 Explorer to graph and analyze the effects of nutria on marsh loss.
Curated OER
Mystery Jars
This is a twist on the old "guess how many jellybeans" game. Using estimation and math skills, learners participate in a fun "mystery jars" activity, trying to make educated guesses at how many objects are in two jars. The basic activity...
Curated OER
Influence and Outliers
Using the TI-Nspire calculator, statisicians identify outliers and their effect on the least-squares regression line. In finding the line of best fit, they determine what points will affect the least squares regressions and what points...
ReadWriteThink
Looking for the History in Historical Fiction: An Epidemic for Reading
Combine informational reading skills with fictional text in an innovative historical fiction lessons. After reading a fictional text related to diseases, class members read non-fictional text to gain knowledge about specific infectious...
Texas Instruments
Endothermic and Exothermic Processes
Students investigate temperature using the TI. In this chemistry lesson, students analyze the change in temperature, as chemicals are dissolved in water. They analyze data collected using the CBL 2.
Curated OER
Do I Have What it Takes to be an Entrepreneur - and is My Community Ready?
Discover the attributes of entrepreneurs and define what entrepreneurship is while examining data based on local businesses. Learners determine whether their community is supportive of entrepreneurs as they research economic development...
Center Science Education
Paleoclimates and Pollen
Demonstrate for your earth scientists how plant pollen of the past has become part of sedimentary deposits, providing clues about ancient climates. Then give them simulated sediment layer samples to analyze for different types of paper...
Kenan Fellows
Climate Change Impacts
Turn up the heat! Young mathematicians develop models to represent different climates and collect temperature data. They analyze the data with regression and residual applications. Using that information, they make conclusions about...
EngageNY
Summarizing a Distribution Using a Box Plot
Place the data in a box. Pupils experiment with placing dividers within a data set and discover a need for a systematic method to group the data. The 14th instructional activity in a series of 22 outlines the procedure for making a...
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.
Virginia Department of Education
Line of Best Fit
Pupils work through a guided activity on fitting a linear equation to a set of data by entering the data into a calculator and trying to envision a line of best fit. They then have the calculator determine the least-squares line and...
American Statistical Association
How Fast Are You?
Quick! Snap up the lesson. Scholars first use an online app to collect data on reaction times by clicking a button when the color of a box changes. They then plot and analyze the data by considering measures of center, measures of...
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.
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 Variability Using the Interquartile Range (IQR)
The 13th lesson plan 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 the Center of a Distribution Using the Median
Find the point that splits the data. The lesson 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 number of data...
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....
Statistics Education Web
Consuming Cola
Caffeine affects your heart rate — or does it? Learners study experimental design while conducting their own experiment. They collect heart rate data after drinking a caffeinated beverage, create a box plot, and draw conclusions....
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...
Teach Engineering
The Challenge Question
A research position becomes a modeling job. The introductory lesson in a series of nine presents the challenge of analyzing a set of bivariate data. The class brainstorms what the data may represent. Pupils must decide what is needed to...
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...