American Statistical Association
Happy Birthday to . . . Two?
How many people do you need in a room before two likely share the same birthday? Scholars consider this puzzle by analyzing a set of data. They ponder how to divide the data and determine the proper size of a group for this event to...
Curated OER
What's Your Shoe Size? Linear Regression with MS Excel
Learners collect and analyze data. In this statistics lesson, pupils create a liner model of their data and analyze it using central tendencies. They find the linear regression using a spreadsheet.
Curated OER
Building Sets of 13 and 14
Compose and decompose sets of 13 and 14 and compare sets of each with your little learners. They use objects to construct sets of 13 and 14, record their answers, and compare sets in several different ways.
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.
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.
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
Big Boats Up The River
Using boats along in the Port of Albany as the focus, learners practice adding single-digit numbers and interpreting data. This lesson comes with the worksheets, resource links, and other materials to make it a worthwhile experience.
Curated OER
Lead and Mercury: Comparing Two Environmental Evils
High schoolers in chemistry or health courses look at the material safety data sheet (MSDS) and periodic table of elements to gather information about mercury and lead, two toxic materials that have been found in food products. They read...
Curated OER
A Day at the Beach
Help learners determine the rate of change for the temperature of sand. They will collect data on the temperature of wet and dry sand over time with a heat lamp overhead. Then make a scatter plot of the data and find a linear model to...
Curated OER
Unit 5: Order Whole Numbers in the 100s and 1,000s
There are three quick number ordering activities here for your mathematicians. First, they analyze data on the number of three types of pies sold. Scholars choose from four ordered lists the one showing fewest to most sold. Then, they...
Virginia Department of Education
Analyzing and Interpreting Statistics
Use measures of variance to compare and analyze data sets. Pupils match histograms of data sets to their respective statistical measures. They then use calculated statistics to further analyze groups of data and use the results to make...
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
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...
Statistics Education Web
Who Sends the Most Text Messages?
The way you use statistics can tell different stories about the same set of data. Here, learners use sets of data to determine which person sends the most text messages. They use random sampling to collect their data and calculate a...
American Institutes for Research
Digital Smiles
Explore metric measurement, recording data, and creating an electronic spreadsheet displaying results with your math class. Scholars will measure the length of their smiles, record the measurements, and represent the results on an...
EngageNY
The Difference Between Theoretical Probabilities and Estimated Probabilities
Flip a coin to determine whether the probability of heads is one-half. Pupils use simulated data to find the experimental probability of flipping a coin. Participants compare the long run relative frequency with the known theoretical...
Curated OER
Compare Data Sets
In this comparing data sets practice worksheet, students sharpen their problem solving skills as they solve 6 story problems.
Curated OER
Return Intervals & Reasoning from Tabular Data
Pupils calculate derivatives from a set of data. In this calculus lesson, students estimate the limit at infinity. They complete a Return Interval handout at the end of the lesson.
Curated OER
Mean, Median, and Mode
Fourth graders compare two sets of data by using a double bar graph. In this data analysis lesson, 4th graders study a double bar graph and complete questions based upon the data. Students construct a table to show the data from the...
Curated OER
How Do We Compare?
In this data analysis worksheet, students measure each other's height in centimeters and record the data on the given data table. Students compare the heights of the girls and heights of the boys.
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. They...
Concord Consortium
Heights and Weights
Height is dependent on weight—or is it the other way around? Given data from a physicians handbook, individuals compare the height and weight of males and females at different areas. They calculate differences and ratios to assist with...
Willow Tree
Line Graphs
Some data just doesn't follow a straight path. Learners use line graphs to represent data that changes over time. They use the graphs to analyze the data and make conclusions.
EngageNY
Margin of Error When Estimating a Population Mean (part 1)
We know that sample data varies — it's time to quantify that variability! After calculating a sample mean, pupils calculate the margin of error. They repeat the process with a greater number of sample means and compare the results.