Parametric
CBET 17-203P
Reported By:
Leader
Devindez E. Delos Santos Members
Anna Lyn P. Jaime
Parametric and Non-Parametric Test
Topics
I. Introduction II. Summary of the major points and how they might affect statistical analysis III. What is the Parametric and Non- Parametric Tests? A. Parametric a. Definition b. Parametric Assumption B. Non-Parametric a. Definition b. Non Parametric Assumption c. Two Different Meaning of Parametric Test IV. Measurement A. What are the 4 levels of measurement discussed in Siegel’s Chapter? a. Nominal or Classificatory Scale b. Ordinal or Ranking Scale c. Interval Scale d. Ratio Scale V. When do we use the Parametric and Non-Parametric Test? A. Parametric Test a. Nominal or Ordinal B. Non Parametric Test b. Interval or Ratio VI. Kinds of Tests A. Parametric Test a. ANOVA- Analysis of Variance i. Assumptions ii. Inventor 1. Sir R. A. Fisher (1935) iii. Formula b. Test of Test i. Inventor 1. Satterthwaite’s T-test(1946) ii. Formula B. Non – Parametric Test a. Wilcoxon signed rank test b. Whitney- Mann- Wilcoxon(WMW) test c. Kruskal Wallis (KW)test d. Friedman’s test
I. Introduction If you’ve ever discussed an analysis plan with a statistician, you’ve probably heard the term “nonparametric” but may not have understood what it means. Parametric and nonparametric are two broad classifications of statistical procedures. The Handbook of Nonparametric Statistics 1 from 1962 (p. 2) says:
“A precise and universally acceptable definition of the term ‘nonparametric’ is not presently available. The viewpoint adopted in this handbook is that a statistical procedure is of a nonparametric type if it has properties which are satisfied to a reasonable approximation when some assumptions that are at least of a moderately general nature hold.”
That
Reported By:
Leader
Devindez E. Delos Santos Members
Anna Lyn P. Jaime
Parametric and Non-Parametric Test
Topics
I. Introduction II. Summary of the major points and how they might affect statistical analysis III. What is the Parametric and Non- Parametric Tests? A. Parametric a. Definition b. Parametric Assumption B. Non-Parametric a. Definition b. Non Parametric Assumption c. Two Different Meaning of Parametric Test IV. Measurement A. What are the 4 levels of measurement discussed in Siegel’s Chapter? a. Nominal or Classificatory Scale b. Ordinal or Ranking Scale c. Interval Scale d. Ratio Scale V. When do we use the Parametric and Non-Parametric Test? A. Parametric Test a. Nominal or Ordinal B. Non Parametric Test b. Interval or Ratio VI. Kinds of Tests A. Parametric Test a. ANOVA- Analysis of Variance i. Assumptions ii. Inventor 1. Sir R. A. Fisher (1935) iii. Formula b. Test of Test i. Inventor 1. Satterthwaite’s T-test(1946) ii. Formula B. Non – Parametric Test a. Wilcoxon signed rank test b. Whitney- Mann- Wilcoxon(WMW) test c. Kruskal Wallis (KW)test d. Friedman’s test
I. Introduction If you’ve ever discussed an analysis plan with a statistician, you’ve probably heard the term “nonparametric” but may not have understood what it means. Parametric and nonparametric are two broad classifications of statistical procedures. The Handbook of Nonparametric Statistics 1 from 1962 (p. 2) says:
“A precise and universally acceptable definition of the term ‘nonparametric’ is not presently available. The viewpoint adopted in this handbook is that a statistical procedure is of a nonparametric type if it has properties which are satisfied to a reasonable approximation when some assumptions that are at least of a moderately general nature hold.”
That