Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Univariate Inference Formulas Tabulated Type of Variable Parameter of Interest Estimator (Sample Statistic) Standard Error of the Estimator, SE Qualitative Categorical Quantitative Measurement, Xi Population proportion, Population mean, Xi sample proportion, frequency of category p sample size, n sample mean, sample sum X sample size, n SE p Assumptions about the underlying distribution p 1 p n SE X n (i) Population SD, , known None (ii) Xi ~ Normal, or n large Confidence Interval Estimation Critical Value, CV, for confidence level = (1 ) Margin of Error (MOE) = (CV)(SE) 100(1 )% Confidence Limits = (Estimator) (MOE) Reference Golde Holtzman all rights reserved n (i) Xi ~ Normal (really need only symmetry) To estimate To estimate σ known To estimate σ unknown Standard Normal, z* = z1 2 Standard Normal, z* = z1 / 2 Student’s T, t* = tn1,1 / 2 z * z * p 1 p n p z * p 1 p n H0: φ φ0 Significance/Hypothesis Testing Test Criterion/Test Statistic Estimator Hypothetical Value SE estimated SE X s Z n X z * t * s n X t * s H0: µ µ0 p 0 0 1 0 n P-value on T-Table, df = ∞ B&M Chapter 19 Z X 0 n P-value on T -Table, df = ∞ B&M Chapters 14 and 15 Page 1 n n H0: µ µ0 Tn 1 X 0 s n P on T -Table, df = (n – 1) B&M Chapter 17 5/8/2013 UnivariateFormulasTable.pdf Univariate Inference Formulas Tabulated Type of Variable Parameter of Interest Estimator (Sample Statistic) Standard Error of the Estimator, SE Quantitative Measurement, Xi Population Standard Deviation, = Xi sample standard deviation, s, calculated from the sample electronically SE(s) has no role in estimation or hypothesis testing of Assumptions about the underlying distribution Xi ~ Normal (really need only symmetry) Confidence Interval Estimation To estimate σ Critical Values, CV Margin of Error Confidence Limits Pearson’s Chi-Squared, n21,1 2 and n21, 2 MOE has no role in confidence interval for n 1 s 2 , n21,1 2 n21, 2 H0: σ σ0 Significance/Hypothesis Testing Test Criterion/Test Statistic Golde Holtzman all rights reserved n 1 s 2 Page 2 2 n 1 n 1 s2 02 5/8/2013 UnivariateFormulasTable.pdf