Approche Expérimentale des Probabilités

Loi de Y
(
)
t(Y)
n=
Y:
t(Y):
Hist:
TCL:
## va: ## (continue) normal, uniform, stdNormal, t, chi2, exp ## (discrète) bernoulli, binomial, discreteUniform va normal ## transform: (default: none) ## none, center, locationScale, square ## sum, sumOfSq, mean, stdMean, meanIC transform none ## Sample size n 1 ## mode: va or clone mode va ## set/unset components unset exp0 curve unset exp0 mean unset exp0 sd unset exp1 curve ## steps for animation at 1: speed 1/2, count level4, hist 4 at 3: speed 1 at 4: count level5 hist 4 at 6: unset anim at 10: hist 5, count 1000 at 15: count 10000, hist 6, set hist curve at 20: end ## va: ## (continue) normal, uniform, stdNormal, t, chi2, exp ## (discrète) bernoulli, binomial, discreteUniform va normal ## transform: (default: none) ## none, center, locationScale, square ## sum, sumOfSq, mean, stdMean, meanIC transform none ## Sample size n 1 ## mode: va or clone mode va ## set/unset components unset exp0 curve unset exp0 mean unset exp0 sd unset exp1 curve ## steps for animation at 1: count level3, hist 3, set summary, set exp1 mean at 3: hist 5 at 5: count 1000, unset anim, set hist curve at 10: set anim, count level5 at 15: count 3, hist 7, unset anim at 20: end