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 activity, they use the data to draw conclusions.
Statistics Education Web
Sampling in Archaeology
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....
American Statistical Association
Colors Challenge!
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 what they...
American Statistical Association
Chocolicious
To understand how biased data is misleading, learners analyze survey data and graphical representations. They use that information to design their own plans to collect information on consumer thoughts about Chocolicious cereal.
Balanced Assessment
The Triskaidecaphobia Conference
Triskaidecaphobia is an extreme superstition to the number 13—and ironically the answer to the word problem is 13! Presented with a series of descriptive data, individuals analyze the data to determine the population size. They must...
Statistics Education Web
How Wet is the Earth?
Water, water, everywhere? Each pupil first uses an Internet program to select 50 random points on Earth to determine the proportion of its surface covered with water. The class then combines data to determine a more accurate estimate.
Mathematics Vision Project
Module 8: Statistics
What does it mean to be normal in the world of statistics? Pupils first explore the meaning of a normal distribution in the eight-lesson module. They then apply the statistics related to normal distributions such as mean, standard...
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,...
Statistics Education Web
What Percent of the Continental US is Within One Mile of a Road?
There are places in the US where a road cannot be found for miles! The instructional activity asks learners to use random longitude and latitude coordinates within the US to collect data. They then determine the sample proportion and...
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...
Statistics Education Web
I Always Feel Like Somebody's Watching Me
Future statisticians and potential psychics first conduct an experiment to collect data on whether a person can tell if someone is staring at them. Statistical methods, such as hypothesis testing, chi-square tests, binomial tests, and...
Statistics Education Web
Who Sends the Most Text Messages?
The way you use statistics can tell different stories about the same set of data. Here, learners use sets of data to determine which person sends the most text messages. They use random sampling to collect their data and calculate a...
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
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
Text Messaging is Time Consuming! What Gives?
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...
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
You Will Soon Analyze Categorical Data (Classifying Fortune Cookie Fortunes)
Would you rely on a fortune cookie for advice? The lesson first requires future statisticians to categorize 100 fortune cookie fortunes into four types: prophecy, advice, wisdom, and misc. The lesson goes on to have learners use...
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
Margin of Error When Estimating a Population Proportion (part 1)
Use the power of mathematics to find the number of red chips in a bag — it's a little like magic! The activity asks learners to collect data to determine the percentage of red chips in a bag. They calculate the margin of error and...
EngageNY
Margin of Error When Estimating a Population Mean (part 2)
Don't leave your classes vulnerable in their calculations! Help them understand the importance of calculating a margin of error to represent the variability in their sample mean.
EngageNY
Margin of Error When Estimating a Population Mean (part 1)
We know that sample data varies — it's time to quantify that variability! After calculating a sample mean, pupils calculate the margin of error. They repeat the process with a greater number of sample means and compare the results.
Willow Tree
Data Sampling
Some say that you can make statistics say whatever you want. It is important for learners to recognize these biases. Pupils learn about sample bias and the different types of samples.