 # Overview of procedures

 Weighted data analysis overview Allocate cases to groups Analysis of variance (correlations) Bayes Theorem and Diagnostic Tests Beta Distribution Beta Random Number Binomail Confidence Interval (onemean) Binomial test Bonferroni adjustment CASRO response rate procedure Catch recatch Chi-Square (t-test) Chi-Square (2*2 Table) Chi-Square (2*5 Table) Chi-square value Cluster analysis Comparative Mortality Figure (SMR) Compare three correlations Compare two correlations Compare two means (Poisson, proportions) Concordance (Ordinal Table) Confidence Interval for one mean or average Confidence Interval for proportion or prevalence Confidence Interval for difference between means Confidence Interval for difference between proportions Correlation, Partial Correlation, difference between Design effect and data weighting Design effect and raking Design factor and confidence interval Diagnostic Test Diagnostic Odds Ratio Discordance (Ordinal Table) Equality Testing (sample size) Evaluate one mean Expectation of life Exponential distribution (Weibull) Extreme value distribution False Positive or Negative Tests Fieller Confidence Interval (SMR) Fisher (t-test) Fisher 2*5 table Fisher Exact test Fisher-Tippett distribution F-test F-value Gamma (Goodman and Kruskal's) (2*5 Ordinal Table) Gamma Distribution Gamma Random Number Geometric Distribution Goodman and Kruskal's Gamma (2*5 Ordinal Table) Gumbel distribution (Weibull) Health screening Hypergeometric Test Intra-correlation Kappa measure of agreement Kendall's Tau-a (2*5 Ordinal Table) Kolmogorov-Smirnov (2*5 Ordinal Tabe) Kolmogorov-Smirnov (Ordinal) L'Ecuyer portable combined generator Life expectancy Life table Likelihood RatioChi-Square (2*2) Linear congruential generator (LCG) Log Odds Ratio (2*2) Log Weibull distribution Logit Mann-Whitney (Ordinal) Mantel Heanszel Chi-square (2*2) Mc-Nemar (Pairwise) McNemar Test (2*2) Median Test Multi level analysis Negative Binomial (Extended Poisson) Negative Binomial (Marginal Binomial) Newcombe Wilson Confidence Interval (t-test) NNT (t-test) Normal random number Odds Ratio (2*2) Odds-Ratio (t-test) Ordinal 2*5 table Ordinal Tests Pairwise tests Partial Correlation Pascal Distribution (negative binomial) Pearson Chi-square (2*2) Pearson Correlation Pearson correlation (2*2) Pick n out of N Pearson's Poisson Confidence Interval (onemean) Phi-square (2*2) Poisson Confidence Interval (onemean) Poisson Test Polya Distribution (negative binomial) Raking Random Numbers Randomly Allocate cases to groups Randomly order cases RandomnessTest (Ordinal) Rate Ratio (SMR) Rate-Ratio (t-test) Rayleigh distribution (Weibull) Response rate procedure (CASRO) Response Rates Reverse significance testing Reverse z,t,f,r,chi-square values Risk Ratio (2*2) Risk-Ratio (t-test) Sample Size (general) Sample Size for two stage design Sample Size for binomial proportion or prevalence Scheffé's test Sensitivity Sequential Probability Ratio's Significance testing Signstest (Pairwise) Specificity Standardized Mortality Ratio Tau-a (Kendall's) (2*5 Ordinal Table) Throw a dice T-test T-test (Pairwise) Uniform random number Wald-Wolfowitz (Ordinal) Weibull Distribution Weibull random number Weighting of data Wilcoxon (Pairwise) Wilson confidence interval (onemean) Yates Chi-square (2*2) Yules-Q & Gamma Yules-Q (2*2) Yules-Y (2*2) Z-test (significance) Z-value Compare Car Rentals! Help SISA and compare two rental cars! An easy way to find the best option. www.quantitativeskills.com 