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...
Curated OER
Vernier EasyData App
Used along with data collection devices, the EasyData Application for the TI-83 Plus/TI-84 calculator allows learners to use real data to learn math and science. Statistics, curve fits, and integrals are used to analyze the...
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...
EngageNY
Random Sampling
Sample pennies to gain an understanding of their ages. The 16th installment of a 25-part series requires groups to collect samples from a jar of pennies. Pupils compare the distribution of their samples with the distribution of the...
Curated OER
Data collection and analysis
In this probability and statistics worksheet, high schoolers determine when a survey or collected data could be biased. The one page worksheet contains a combination of three multiple choice and free response questions. ...
Curated OER
Organizing Data
In this statistics activity, 11th graders collect data and organize it using a frequency table. They plot their data and analyze it using stem and leaf plots. There are 3 questions with an answer key.
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
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...
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...
Willow Tree
Bar Graphs
Circles, lines, dots, boxes: graphs come in all shapes in sizes. Scholars learn how to make a bar graph using univariate data. They also analyze data using those bar graphs.
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...
Curated OER
The Dog Days of Data
Students are introduced to the organization of data This lesson is designed using stem and leaf plots. After gather data, they create a visual representation of their data through the use of a stem and leaf plot. Students
drawing...
Curated OER
The Dog Days of Data
Students practice an alternative form of data presentation. They practice sequencing data, identifying the stem-and-leaf, creating stem-and-leaf plots, and drawing inferences from the data by viewing the plots.
Curated OER
Dynamite Data
Second graders rotate through a variety of stations designed to offer practice in manipulating data. They sort, tally and count items and then create bar graphs, tables, and pie graphs to record their findings.
Curated OER
What's Your Average? What Do You Mean? I'm More Than Just Average
Upper grade and middle schoolers collect data, analyze and interpret the data. This three-part instructional activity should provide learners with a firm understanding about the differences between mean, median, and mode and how to...
Curated OER
Raisin the Statistical Roof
Use a box of raisins to help introduce the concept of data analysis. Learners collect, analyze and display their data using a variety of methods. The included worksheet takes them through a step-by-step analysis process and graphing.
Virginia Department of Education
Numbers in a Name
What's in a name? Pupils create a data set from the number of letters in the names of classmates. Each group then takes the data and creates a visual representation, such as a histogram, circle graph, stem-and-leaf plot, etc.
Curated OER
Pumpkin Seed Data!
Second graders work with pumpkins to estimate, then accumulate data about pumpkin seeds. After cleaning out the pumpkins, 2nd graders utilize a worksheet imbedded in this plan which has a variety of pumpkin math activities they can do.
Curated OER
Data Analysis, Probability, and Discrete Mathematics: Lesson 4
Eighth graders investigate the concepts of probability while performing data analysis. They apply statistical methods in order to measure or predict some possible outcomes. The information is collected and graphed, 8th graders analyze...
CK-12 Foundation
Single Bar Graphs: Hockey Teams
Raise the bar for hockey fans. Using data about favorite hockey teams, pupils build a bar graph. They use the information from the graph to make comparisons and solve one- and two-step problems.
Curated OER
What's in a Graph?
How many yellow Skittles® come in a fun-size package? Use candy color data to construct a bar graph and a pie chart. Pupils analyze bar graphs of real-life data on the Texas and Massachusetts populations. As an assessment at the end...
Curated OER
Can You Count on Cans?
How can a canned food drive be connected to math? It's as simple as counting and organizing the cans! Children demonstrate their ability to sort non-perishable foods into categories that include soup cans, vegetable cans, boxed items,...
Curated OER
Excel Lesson
Young scholars explore data and Excel spreadsheets. They collect data about political candidates. Students enter the data into a chart on Excel. They create a graph using the data and Excel.
Curated OER
Fire Wars
Your class can practice collecting and analyzing data. They extrapolate information and derive data from fire season statistics. They also choose the most appropriate format to display collected data.