Which fluids make the best bubbles? Pupils experiment with multiple fluids to determine which allows for the largest bubbles before popping. They gather data, analyze it in multiple ways, and answer analysis questions proving they...

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.

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....

Does writing the name of a color in a different colored ink affect one's ability to read it? Scholars design an experiment to answer this question. They collect the data, analyze the statistics, and draw a conclusion based on...

Collections of data represented in stem and leaf plots are organized by young statisticians as they embark some math engaging activities.

Fine the normality of fall measurements. Pairs collect measurements of fall leaves and one other fall object. Using the measurements, the groups determine the descriptive statistics for the object and using the Empirical Rule, figure out...

Explore the power of mathematics through this two-week statistics unit. Pupils learn about several climate-related issues and complete surveys that communicate their perceptions. They graph both univariate and bivariate data and use...

How do you find the area of an irregular shape? Class members calculate the area of an irregular shape by finding the area of a random sampling of the shape. Individuals then utilize a confidence interval to improve accuracy and use a...

One of the key questions in statistics is whether the results are good enough. Use an activity to help pupils understand the importance of sample size and the effect it has on variability. Groups collect their own sample data and compare...

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 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...

Class members study the size of classmates' feet and perform a statistical analysis of their data. They solve for central tendencies, quartiles, and spread for the entire group as well as subgroups. They then write a conclusion based on...

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....

Teach your class how to use descriptive statistics through a hands-on data collection activity. Pupils collect their own data, calculate test statistics, and interpret the results in context. They compare male and female results, looking...

Mississippi has both the highest obesity and poverty rate in the US. Does the rest of the data show a correlation between the poverty and obesity rate in a state? Learners tackle this question as they practice their skills of regression....

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...

To an engineer, the glass is never half full; it's just double the necessary size. The fifth installment of a nine-part technology and engineering series teaches pupils about the idea of ergonomic design. Measurements of popliteal height...

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...

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...