Χ 2cdf(left bound, right bound, df) corresponds to P(left bound Χ 2.
Χ 2pdf( x, df) yields the probability density function value, only useful to plot the chi 2 curve, in which case " x" is the variable.
tcdf(left bound, right bound, df) corresponds to P(left bound t.
tpdf( x, df) yields the probability density function value, only useful to plot the student- t curve, in which case " x" is the variable).
invNorm( p) yields the critical value, k: P( Z k) = p for the standard normal.
invNorm( p, μ, σ) yields the critical value, k: P( X k) = p.
normalcdf(left bound, right bound) corresponds to P(left bound Z.
normalcdf(left bound, right bound, μ, σ) corresponds to P(left bound X.
normalpdf( x, μ, σ) yields a probability density function value, only useful to plot the normal curve, in which case " x" is the variable.
− ∞ − ∞ uses the value –1EE99 for left bound.
poissoncdf(λ, x) corresponds to P( X ≤ x).
poissonpdf(λ, x) corresponds to P( X = x).
To see a list of all probabilities for x: 0, 1.
binomcdf( n, p, x) corresponds to P(X ≤ x).
binompdf( n, p, x) corresponds to P( X = x).
TI-83, 83+, 84, 84+ instructions for distributions and tests Distributionsįor technical assistance, visit the Texas Instruments website at and enter your calculator model into the search box.
0 kommentar(er)
