overload119 / learn-stats Goto Github PK

Show the big graph from the previous page, note that it is normal as fuck.
Write some more about the Central Limit Theorem -- more context.

Thanks for playing,
conclusion,

I added a card flip animation (pure css) that we can use at various points in the code because it looks sexy, but I can only see the graceful degradation version because I'm on a shitty linux box. Can you please press the button on slide 3 and see if the flip works?

Show a graph of the cat stats for the user (based on the previous slide)
Explain what it means, talk about the probabilities that were generated (how it was skewed)
Note that the distribution is not Normal

Cat game

Generate a bunch of other ratings, show the graphs for each.
Note that there is skew in each graph, there is not a normal distribution in any of them.
At first show like 4,
then gradually increase the number with a Show More button that exponentially increases,
Plot the averages of each new sample in a bigger graph on the bottom.