TI83-84, Pg 3, HYPOTHESIS TESTING

This Page is HYPOTHESIS TESTING, Page 3 of TI HHC STATISTICS On this page find: [STAT] [TESTS] - Statistical Tests DISTRIBUTION - the density and cumulative functions DISTRIBUTION DRAW - shades area between curves Other Pages Include: Basic Calculator Use, Page 1 Summary of A Confidence Interval Summary of Hypothesis Testing Hypothesis Tests Web Page. local video     video

[STAT] [TESTS] - Statistical Tests 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: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.

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