Basic statistics simulations
Mean: share and balance
This online simulation concentrates on explaining the concept of statistical mean. See how it is constructed and how the values of a statistical variable are distributed around it.
Center and variability
This online simulation will help us to understand the concepts of statistical median and mean. With several exercises we will see how to obtain the value of these two important statistical parameters and how the values are distributed around them.
Projectile Data Laboratory
Explore how statistics can shed light on the behavior of physical phenomena with this projectile launch simulation. Collect real data about launches—such as time, distance, and final velocity—and observe how they vary. Analyze the resulting sets by applying measures like the mean and median, and reflect on how these figures summarize and characterize the variability of data in real contexts of motion.
Sampling distributions of projectiles
Dive into the connection between statistics and physics with this projectile sampling distribution simulation. Watch in real time as multiple launches generate different sample distributions, and see how, as sample size increases, those distributions converge toward a more expected shape—a visual illustration of the Central Limit Theorem in action. Use the generated data to calculate and compare measures like the mean, median, and deviation, and understand how these statistical tools describe datasets in real-world contexts.
Giants of science
“If I have seen further, it is by standing on the shoulders of giants”
Isaac Newton
Joseph Fourier
1768
–
1830
Fourier developed the Fourier series, allowing the representation of periodic functions and modeling phenomena like heat, sound, and waves. He transformed applied calculus and mathematical statistics
“The profound analogy between heat and light guides scientific research”
Henri Poincaré
1854
–
1912
Henri Poincaré founded algebraic topology, contributed to chaos theory and the mathematical formulation of physics
“The mathematical universe reflects the harmony and complexity of nature”
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