We often see other countries depicted in movies, but getting a close look at a typical day in the life of a young person from another country isn't as common. Give your pupils such a look with a resource that helps class members...

Why do athletes load up on carbohydrates the evening before a competition? The lesson helps answer this question as it relates the type of food to the amount of energy it contains. After a discussion, scholars perform an experiment...

Two real-world activities to practice adding, subtracting and multiplying matrices to problem solve. Data from several Pro football quarterbacks is used in one activity to make some predictions based on their stats. Then the class takes...

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....

Learners explore mean, median, and mode as they model mathematics in real-world problem situations. The lesson requires the use of the TI 30X IIS.

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, they use the data to draw conclusions.

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...

Odd or even—fifty-fifty chance? Pupils first conduct an experiment rolling a pair of dice to generate data in a probability activity. It goes on to introduce mutually exclusive and non-mutually exclusive events, and how to use the...

The more you text, the less you study. Have classes test this hypothesis or another question related to text messages. Using real data, learners use technology to create a scatter plot and calculate a regression line. They create a dot...

Reaction rates vary between your dominant and nondominant hand ... or do they? Young scholars conduct an experiment collecting data to answer just that. After collecting data, they calculate the p-value to determine if the difference is...

Middle schoolers explore and design ways to collect data through simulations and random samples. They perform two experiments to determine the answers to various probability problems, and present the data/graphs in the form of a...

Young mathematicians collect data on the arm spans of classmates. Then they sort the data by measures of center, spread, and standard deviation. Finally, they compare groups, such as boys and girls, to interpret any differences. 

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...

Seeing is believing. Given several bivariate data sets, learners make scatter plots using the online SeeIt program to visualize the correlation. To get a more complete picture of the topic, they research their own data set and perform an...

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...

Learners apply their understanding of luck to a probability experiment. They play a game of Pass the Pigs to determine the probability of a specific outcome. Using analysis for their data, pupils declare the measures of center, dot...

Scholars create and perform experiments attempting to answer Buffon's Coin problem. They discover the relationships between geometry and probability, empirical and theoretical probabilities, and area of a circle and square.

How confident are you? Explore the meaning of a confidence interval using class collected data. Learners analyze data and follow the steps to determine a 95 percent confidence interval. They then interpret the meaning of the confidence...

Investigate the effect of false positives on probability calculation with an activity that asks scholars to collect simulated data generated by a calculator. To finish, participants analyze the probability of certain outcomes which lead...

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...

The bounce of a golf ball changes the result in golf, mini golf—and a great math activity. Scholars graph the height of golf ball bounces before finding a line of best fit. They analyze their own data and the results of others to better...

Run a simulated airplane manufacturing plant with your pupils as the builders! Learners build Lego airplane models and collect data on the rate of production, comparing the number produced to the number defective. Using linear...

Here's a TI step by step guided instructional activity on matrices. The class enters data into the TI calculator about movie ticket sales and uses matrices as a problem solving tool. They add and multiply matrices to determine profit.

Read all about the various types of unemployment and the United States is are currently at the low-point of an unemployment cycle. Kids examine what economic factors affect the unemployment rate, and what data shows for different US...