 ## TI83-84 STATISTICS and DISTRIBUTION Menus

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 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 Click on image to enlarge. TESTS   On 1 page of notes.
 For using data in calculator. Here for a 2-tail test. For using data not in calculator.Here for a 1-tail test. For the test on the right, the following results are returned for [CALCULATE] and [DRAW].  The user must know the statistics to complete the problem. The calculator will just do the computation.

See problem 2, A normally distributed standardized math test is known to have a mean of 70% and a standard deviation of 12%. The test is given to 36 freshmen and the class average is 75%. With 99% confidence, complete a hypothesis test to see if the population average is greater than 70%. 1:Z-Test...
significance test for a mean, sigma known
2:T-Test...
significance test for a mean, sigma unknown
3:2-SampleZ-Test...
4:2-SampleT-Test...
5:1-PropZ-Test...
significance test for a proportion
6:2-PropZ-Test...
significance test for the difference of two proportions
7:Z-Interval...
confidence interval for a mean,known
8:TInterval...
confidence interval for a mean,unknown
9:2-SampZInt...
significance test for the difference of two means, sigma1 and sigma2 known
0:2-SampTInt...
significance test for the difference of two means, sigma1 and sigma2 unknown
A:1-ProfZInt...
confidence interval for a proportion
B:2-ProfZInt...
confidence interval for the difference of two proportions
C: 2-Test... 2 test of homogeneity or independence (not goodness-of-fit)
D: 2GOF-Test... 2-Test
E:2-SampFTest...
F:LinRegTTest...
significance test for a slope
G:LinRegTInt...
H:ANOVA(

 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:Shade 2(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).      © 2007, 2012 A. Azzolino www.mathnstuff.com/math/spoken/here/2class/400/83stat2.htm