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...
CK-12 Foundation
Mode: Boxes of Oranges
See how your data stacks up. Pupils stack crates of oranges in increasing order, creating a simple bar graph. Using the graph, individuals determine measures of center and describe the shape of the distribution. Scholars determine what...
Curated OER
Representing Data 1: Using Frequency Graphs
Here is a activity that focuses on the use of frequency graphs to identify a range of measures and makes sense of data in a real-world context as well as constructing frequency graphs given information about the mean, median, and range...
Curated OER
Obstacles to Success: Misleading Data
Eleventh graders explore how data reported by country agencies can mislead the public intentionally or unintentionally. In this Cross Curricular activity, 11th graders analyze charts and graphs in order to draw conclusions. Students...
Curated OER
Human Face of Mathematics - Mathematics in Aboriginal Culture
Students collect statistical data. In groups, students play a dart game and then determine the distance between darts. They collect the data and plot the information on a coordinate plane. They identify the mean and the standard...
Statistics Education Web
How High Can You Jump?
How high can your pupils jump? Learners design an experiment to answer this question. After collecting the data, they create box plots and scatter plots to analyze the data. To finish the instructional activity, they use the data to...
Radford University
What Is Normal?
Are you taller than a Major League Baseball player? Future mathematicians learn about normal distributions, percentiles, z-scores, and areas under a normal curve. They use the concepts to analyze height data of Major League Baseball...
Curated OER
Exploring Quadratic Data with Transformation Graphing
Using a data collection device to collect data regarding a bouncing ball, students use various features on graphing calculators to experiment with the parameters of the vertex form of the parabola and their effect on the shape of the...
Curated OER
Move My Way: A CBR Analysis of Rates of Change
Learners match a given velocity graph and sketch the corresponding position graph using a graphing calculator. After collecting data from their everyday life, students use specific functions on their calculators to create graphs and...
Curated OER
Data Collection
Students investigate qualitative and quantitative data. In this statistics lesson, students gather data on heights and weights of people and graph the distribution. Students discuss the differences between qualitative and quantitative data.
EngageNY
Describing the Center of a Distribution
So the mean is not always the best center? By working through this exploratory activity, the class comes to realize that depending upon the shape of a distribution, different centers should be chosen. Learners continue to explore the...
EngageNY
Sampling Variability in the Sample Mean (part 2)
Reduce variability for more accurate statistics. Through simulation, learners examine sample data and calculate a sample mean. They understand that increasing the number of samples creates results that are more representative of the...
Statistics Education Web
Now You SeeIt, Now You Don't: Using SeeIt to Compare Stacked Dotplots to Boxplots
How does your data stack up? A hands-on activity asks pupils to collect a set of data by measuring their right-hand reach. Your classes then analyze their data using a free online software program and make conclusions as to the...
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...
EngageNY
Summarizing Deviations from the Mean
Through a series of problems, learners determine the variability of a data set by looking at the deviations from the mean. Estimating means of larger data sets presented in histograms and providing a way to calculate an estimate round...
Code.org
Check Your Assumptions
Always check your assumptions when interpreting data and data visualizations. That's the take away from this exercise. Class members examine a failed project that looks at search trends to predict flu outbreaks and consider the...
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...
US Department of Commerce
Over the Hill - Aging on a Normal Curve
Nobody is too old to learn something new. Young statisticians analyze census data on the percentage of the population older than 65 years old in US counties. They fit a normal distribution to the data, determine the mean and standard...
Howard Hughes Medical Institute
Human Impacts on Biodiversity
Have you always wanted to take your science class on an amazing field trip they will never forget? Now you can! Observe the wildlife in an African savanna through trail cameras with a five-part data analysis activity. Learners analyze...
Virginia Department of Education
May I Have Fries with That?
Not all pie graphs are about pies. The class conducts a survey on favorite fast food categories in a lesson on data representation. Pupils use the results to create a circle graph.
Howard Hughes Medical Institute
Seed Dispersal in Tropical Forests
How do seeds get around? It's not like plants can control seed dispersal—or can they? Dig deeper into the amazing mechanisms of seed dispersal observed in tropical plants through interactives, a video, and plenty of hands-on data...
Curated OER
Linear and Quadratic Model, Data Modeling
Students model quadratic and linear equations. In this algebra instructional activity, students solve word problems using equations. They create scatter plots and make predictions using correlations.
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
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...