TI83-84 STATISTICS and DISTRIBUTION Menus

This Page is Stat Functions -- Page 2 On this page find: Distribution Edit Diagnostic On Calculate Distribution Draw There are other pages including: Basic Calculator Statistics, Page 1 -- Lists ..., Calculate, Probability Functions Hypothesis Testing, Page 3 -- tests and support documents CALCULATORing Table of Contents T of C for MIDDLE GROUND, Statistics Stat I in Spring 2025 STATISTICS ON VIDEO Basic TI83/84 Calculator Use video local video Basic Calculator Statistics, Page 1   video Statistics I in 2 Hours local video Center & Spread     video, local video, support documents Stat I, in 2-hours A Guided Tour of stat.xls video   local video     the spread sheet Spring 2025 Lab 3 video Spring 2025, Lab4 video Hypothesis Tests, 2022 local     video probability video normal distribution video

Table of Contents for CALCULATORing   Probability Computation in the MATH Menu     Tests   Distribution     Diagnostic On     Distribution Draw

EDIT 1:Edit... 2:SortA( 3:SortD( 4:ClrList 5:SetUpEditor

CALCULATE 1:1-Var Stats 2:2-Var Stats 3:Med-Med 4:LinReg(ax+b) 5:QuadReg 6:CubicReg 7:QuadReg 8:LinReg(a+bx) 9:LnReg A:PwrReg B:Logistic C:SinReg D:Manual-Fit

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DISTRIBUTION 1:normalpdf(x[,mean,standard deviation])       normal probability density function 2:normalcdf(lower bound,upper bound[,mean, standard deviation])       normal cumulative distribution function (area under the curve) 3:invNorm(area[,mean,standard deviation])       normal distribution s x-value or z-score corresponding to a known area 4:invT(area, degrees of freedom inverse cumulative student-t probability 5:tpdf(x, degrees of freedom) probability density function       t probability density function 6:tcdf(lower bound, upperbound, degrees of freedom)       t cumulative distribution function (area under the curve) 7:2pdf(x,degrees of freedom)       2 probability density function 8:2cdf(lower bound,upperbound,degrees of freedom)       2cumulative distribution function (area under the curve) 9:Fpdf(x,numerator df,denominator degrees of f) 0:Fcdf(lowerbound,upperbound,numerator df,denominator df)       F distribution probability between upper and lower bound A:binompdf(number of trials,probability[,successes])       binomial probability B:binomcdf(number of trials,probability[,successes])       binomial cumulative probability C:poissonpdf(mean,x) probability at x for the Poisson distribution D:poissoncdf(mean,x) cumulative Poisson probability at x E:geometpdf(probability,trial of first success)       geometric probability F:geometcdf(probability,trial of first success) geometric cumulative probability

DISTRIBUTION   DRAW 1:ShadeNorm(lowerbound,upperbound[,m,s])       shades normal curve between lowerbound and upperbound. 2:Shade_t(lowerbound,upperbound,df)       shades Student-t distribution 3:Shade2(lowerbound,upperbound,df)       shades 2 between lowerbound and upperbound. 4:ShadeF(lowerbound,upperbound,numer df,denom df)       shades F curve between lowerbound and upperbound.

DIAGNOSTIC ON In CATALOG toggle DiagnosticOn or DiagnosticOff to display       r (correlation coefficient) and       r^2 (coefficient of determination)       R^2 (coefficient of determination).

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