University:
Montgomery College
Course:
MATH 117: Elements of Statistics
Academic year:

2020
Views:

89

Pages:

2
Author:

Elisa Morris

TI‐83/84 Calculator Programs Used In Statistics Probability Distributions Key Strokes Format Returns For normal distribution with mean  and standarddeviation  2ND VARS (= DISTR) 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 Value of t , t p , for which P is the probability that t t P Option 4: invT( P , Ndof Option 6: tcdf( tL , tU , Ndof ) 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: Option B: 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 2‐PropZInt: Specify numbers of successes, and for samples of size n1 , and n2 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 between population proportions from two independent samples For t distribution(s) Option 8: Option 0: TInterval: Use Data (in a list) or Stats with sample standard deviation SX sample mean ̅ , sample size n 2‐SampTInt: Use Data (in lists) or Stats with and , sample standard deviations sample means ̅ and ̅ ,  for samples of size n1, and n2 Confidence interval for population mean Confidence interval for difference between population means from two independent samples Hypothesis Testing Key Strokes STAT What to Enter For normal distribution(s) (to TESTS) Option 1: Option 3: Option 5: Option 6: Returns Z‐Test: Use Data (in a list) or Stats with population mean  populationfor null hypothesis)sample mean ̅ and sample size n 2‐SampZTest: Use Data (in lists) or Stats with population means  population (for null hypothesis) sample means ̅ and ̅ and samples sizes n1 and n2 1‐PropZTest: Specify population proportion p0, “number of successes” x in the sample , and sample size n 2‐PropZTest: the number of successes and in the samples and the sample sizes n1, and n2 Tests alternate hypothesis that   >or <against null hypothesis that   Tests alternate hypothesis that  >or<against null hypothesis that   Tests alternate hypothesis that p pp >porp porp1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