Download TI-83/84 Calculator Programs Used In Statistics

TI‐83/84 Calculator Programs Used In Statistics Probability Distributions Key Strokes Format 2ND VARS (= DISTR) Returns For normal distribution with mean  and standarddeviation  Option 2: normalcdf( ZL , ZU ,  ,  Option 3: invnorm( P ,  ,  Probability that Z ZU Value of Z , ZP , for which P is the probability that Z ZP For t distribution with Ndof degrees of freedom Option 4: invT( P , Ndof Option 6: tcdf( tL , tU , Ndof ) Value of t , t p , for which P is the probability that t t P Probability that t For binomial distribution with n trials, probability of success p Option A: binompdf(n, p, x) Option B: binomcdf(n, p, x) Probability of exactly x successes in n trials Probability of x or fewer successes in n trials *
invT not available for TI‐83 Confidence Intervals Key Strokes STAT (to TESTS) Option 7:
Option 9: Option A: What to Enter
Returns For normal distribution(s) ZInterval: Use Data (in a list) or Stats with standard deviation sample mean ̅ , and sample size n 2‐SampZInt: Use Data (in lists) or Stats with sample means ̅ and ̅ , sample sizes n1 , and n2 1‐PropZInt: Specify number of successes x in the sample, and sample of size n Confidence interval for population mean Confidence interval for difference between population means from two independent samples Confidence interval for population proportion p Confidence interval for difference Option B: 2‐PropZInt: Specify numbers of successes, between population proportions and for samples of size n1 , and n2 from two independent samples Option 8:
Option 0: For t distribution(s) TInterval: Use Data (in a list) or Stats with Confidence interval for population sample standard deviation SX sample mean mean ̅ , sample size n 2‐SampTInt: Use Data (in lists) or Stats with sample standard deviations and , sample means ̅ and ̅ ,  for samples of size n1, and n2 Confidence interval for difference between population means from two independent samples Hypothesis Testing Key Strokes What to Enter
For normal distribution(s) STAT (to TESTS) Option 1:
Option 3: Option 5: Option 6: Z‐Test: Use Data (in a list) or Stats with Tests alternate hypothesis that population mean  populationfor null   >or <against hypothesis)sample mean ̅ and sample size null hypothesis that   n 2‐SampZTest: Use Data (in lists) or Stats Tests alternate hypothesis that with population means   >or<against population (for null hypothesis) sample means ̅ and ̅ and samples sizes null hypothesis that   n1 and n2 Tests alternate hypothesis that 1‐PropZTest: Specify population proportion p pp >porp <pagainst p0, “number of successes” x in the sample , null hypothesis that p p and sample size n Tests alternate hypothesis that 2‐PropZTest: the number of successes p1 pp1>porp1<pagainst and in the samples and the sample sizes n1, and n2 null hypothesis that p1 p For t distribution(s) Option 2:
Option 4: Returns T‐Test: Use Data (in a list) or Stats with population mean (for null hypothesis)sample mean ̅ and sample standard deviation and the sample of size n 2‐SampTTest: Use Data (in lists) or Stats with sample means ̅ and ̅ , sample sizes n1 , and n2 Tests alternate hypothesis that   >or <against null hypothesis that   Tests alternate hypothesis that population means  >or<against null hypothesis that   General Key Strokes MATH (to PRB) 
Format
Returns (enter the number for N first, before the MATH key) Option 2:
N nPr R Option 3: N nCr R Option 4: N! Option 5: randInt(ILL, IUL, N) number of permutations (arrangements) of N objects chosen R at a time (order matters) number of combinations (groupings) of N objects chosen R at a time (order doesn’t matter) N factorial = N x (N1) x (N2) … x 2 x 1 (N objects arranged in order) Generates N random integers between ILL and IUL