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...

Young mathematicians fold and flick their way to a deeper understanding of statistics with a fun, hands-on math unit. Over the course of four lessons, students use paper footballs to generate data as they learn how to create line...

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...

Class members investigate relationships between two variables in the seventh installment of a 16-part module that teaches scholars how to find and describe patterns in scatter plots. Young mathematicians consider linear/nonlinear...

Learners explore scatter plots. In this linear regression lesson, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their...

Obesity is a worldwide concern. Using survey results, learners compare local BMI statistics to celebrity BMI statistics. Scholars create box plots of the data, make observations about the shape and spread of the data, and examine the...

Students explore the concept of line of best fit. In this line of best fit activity, students find lines of best fit in examples about riding your bike home from school and dentistry. Students find two data points and find the line of...

Students discuss scatter plots then create a class scatter plot using their heart rate at rest and their heart rate after a few minutes of aerobic exercises. Students copy the points plotted as a class and create individual graphs...

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 lesson plan, they use the data to...

Investigate the relationship between height and arm span. Young statisticians measure the heights and arm spans of each class member and create a scatter plot using the data. They draw a line of best fit and use its slope to explain the...

Pupils use the provided census data to guess the future height of a child. They organize and plot the data, solve for the line of best fit, and determine the likely height and range for a specific age. 

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....

What did gender have to do with the survival rates of the Donner Party? Using comparative box plots, classes compare the ages of the survivors and nonsurvivors. Using the same method, individuals make conclusions about the...

How do you rate? Young scholars use graphical data to analyze ratings of different television episodes. Their analyses include best-fit lines, mean, median, mode, and range.

High schoolers explore the concept of statistical data. In this statistical data lesson, students read an article about the dangers of peanut butter to those who are allergic. High schoolers perform a taste test of two different brands...

Students are presented with the question: "Do longer legged people run faster than shorter legged people?" Students conduct an experiment, collect their data, create box and whisker plots using a computer and graphing program, and...

Compare different random sampling types using an archaeological setting. Scholars collect data from an archaeological plot using simple random samples, stratified random samples, systematic random samples, and cluster random samples....

Will the time come when women outperform men at the Olympic Games?Scholars investigate gender differences in Olympic Games performances. They study the historical participation of women and then analyze data to determine if women will...

The battle of the sexes? Scholars first examine data on hurricane-related deaths and create graphical displays. They then use the data and displays to consider whether hurricanes with female names result in more deaths than hurricanes...

Conduct an experiment to determine the accuracy of pedometers versus pedometer apps. Class members collect data from each device, analyze the data using a hypothesis test, and determine if there is a significant difference...

Students collect and analyze data. In this statistics lesson, students plot their data on a coordinate plane and find the line of best fit. They calculate the linear regression using the data.

Investigate the meaning of a sample proportion using this hands-on activity. Scholars collect data and realize that the larger the sample size the more closely the data resembles a normal distribution. They compare the sample proportion...

How random is random? Demonstrate the different random sampling methods using a hands-on activity. Pupils use various sampling techniques to choose a random sample of elements from the periodic table. They use the different samples to...