HEG Genève🎲 STATISTICS · SAMPLING DISTRIBUTION SIMULATOR
THE KEYSTONE IDEA, MADE VISIBLE

Where the sample mean lives

The single hardest idea in the course: the sampling distribution. The top chart is the whole population of Geneva pizza prices β€” deliberately not bell-shaped. Each time you draw a sample of size n and compute its mean, that one number drops onto the bottom chart. Draw thousands and watch what the means do.

β‘  The population β€” all prices (fixed)

Skewed: lots of cheap places, a long tail of pricey ones. This is NOT a bell.
β€”
population mean Β΅
β€”
population SD Οƒ
Population shape

β‘‘ The sampling distribution of the mean xΜ„

Same x-axis as the population above β€” so you can see it concentrate.
0
samples drawn
β€”
mean of the means
β€”
SD of the means
β€”
Οƒ/√n (theory)
Pick a sample size and start drawing.
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