Bowland
How Risky is Life?
"Life is more risk management, rather than exclusion of risks." -Walter Wriston. Scholars use provided mortality data to determine how likely it is a person will die from a particular cause. They compare the data to the perception of the...
Bowland
Fashionista
So trendy! Show your class how to identify trends in sales patterns using mathematics. Scholars use a software simulation to collect data on age groups, price, and sales at a fashion store. This data allows individuals to determine the...
Bowland
Crash Test
Use mathematics and simulations to investigate car crashes. IScholars test hypotheses involving car crashes. They collect, analyze, and display data from computer simulations to support or refute their hypotheses.
Balanced Assessment
Movie Survey
Movie preferences will get your classes talking! Individuals read a pie graph and construct a bar graph using the same information. They then answer questions specific to the data and sample size.
Statistics Education Web
Population Parameter with M-and-M's
Manufacturers' claims may or may not be accurate, so proceed with caution. Here pupils use statistics to investigate the M&M's company's claim about the percentage of each color of candy in their packaging. Through the activity,...
Teach Engineering
Understanding the Air through Data Analysis
Is there a correlation or causation relationship between air pollutants? Groups develop a hypothesis about the daily variation of air pollutants, specifically ozone and CO2. Using Excel to analyze the data, the groups evaluate their...
Statistics Education Web
Double Stuffed?
True or false — Double Stuf Oreos always contain twice as much cream as regular Oreos. Scholars first measure the masses of the filling in regular Oreos and Double Stuf Oreos to generate a class set of data. They use hypothesis testing...
Balanced Assessment
Above Average
Raise the bar and strive to be above average. The assessment task requires budding mathematicians to think critically and evaluate given statements. What does it truly mean to be above average?
Statistics Education Web
The Case of the Careless Zookeeper
Herbivores and carnivores just don't get along. Using a box of animal crackers, classes collect data about the injury status of herbivores and carnivores in the box. They complete the process of chi-square testing on the data from...
Statistics Education Web
Saga of Survival (Using Data about Donner Party to Illustrate Descriptive Statistics)
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 gender and...
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...
Statistics Education Web
Types of Average Sampling: "Household Words" to Dwell On
Show your classes how different means can represent the same data. Individuals collect household size data and calculate the mean. Pupils learn how handling of the data influences the value of the mean.
Statistics Education Web
Did I Trap the Median?
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...
Statistics Education Web
10,000 Steps?
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 between 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...
EngageNY
Ruling Out Chance (part 2)
Help your classes find the significance in this lesson! Learners analyze the probability of Diff values. They then determine if the difference is significant based on their probability of occurrence.
EngageNY
Margin of Error When Estimating a Population Proportion (part 2)
Error does not mean something went wrong! Learners complete a problem from beginning to end using concepts developed throughout the last five lessons. They begin with a set of data, determine a population proportion, analyze their result...
EngageNY
Using Sample Data to Estimate a Population Characteristic
How many of the pupils at your school think selling soda would be a good idea? Show learners how to develop a study to answer questions like these! The lesson plan explores the meaning of a population versus a sample and how to interpret...
EngageNY
Distributions—Center, Shape, and Spread
Data starts to tell a story when it takes shape. Learners describe skewed and symmetric data. They then use the graphs to estimate mean and standard deviation.
EngageNY
Evaluating Reports Based on Data from an Experiment
They say you can interpret statistics to say what you want them to. Teach your classes to recognize valid experimental results! Pupils analyze experiments and identify flaws in design or statistics.
EngageNY
Drawing a Conclusion from an Experiment (part 2)
Communicating results is just as important as getting results! Learners create a poster to highlight their findings in the experiment conducted in the previous lesson in a 30-part series. The resource provides specific criteria and...
EngageNY
Drawing a Conclusion from an Experiment (part 1)
Challenge your classes to complete an experiment from beginning to end. Learners make their own hypotheses, collect and analyze their own data, and make their own conclusions. They are on their way to becoming statisticians!
EngageNY
Ruling Out Chance (part 3)
Pupils analyze group data to identify significant differences. They use simulation to create their own random assignment data for comparison.
EngageNY
Ruling Out Chance (part 1)
What are the chances? Teach your classes to answer this question using mathematics. The first part of a three-day lesson on determining significance differences in experimental data prompts learners to analyze the data by determining the...