'Parametric statistics' diaporamas de présentation

Chapter Ten

Chapter Ten. Introduction to Hypothesis Testing. New Statistical Notation. The symbol for greater than is > The symbol for less than is < The symbol for greater than or equal to is ? The symbol for less than or equal to is ? The symbol for not equal to is ?. Chapter 10 - 2.

627 views • 43 slides

Mathematical Foundations of Robustness and Qualitative Robustness in Bootstrapping

Mathematical Foundations of Robustness and Qualitative Robustness in Bootstrapping Mohammed Nasser and Nor Aishah Hamzah Institute of Mathematical Sciences University of Malaya. Contents. Interplay between Statistics, Mathematics and Computer Science

513 views • 37 slides

429 views • 34 slides

Common Nonparametric Statistical Techniques in Behavioral Sciences

Common Nonparametric Statistical Techniques in Behavioral Sciences. Chi Zhang, Ph.D. University of Miami June, 2005. Objectives. Assumptions for nonparametric statistics Scales of measurement Advantages and disadvantages of nonparametric statistics

746 views • 19 slides

Data Analysis

Data Analysis. Summary of Quantitative Analysis Neuman and Robson Ch. 11. Analyzing Quantitative Data (for brief review only). Parametric Statistics : -appropriate for interval/ratio data -generalizable to a population -assumes normal distributions Non-Parametric Statistics:

452 views • 16 slides

Data Analysis

Data Analysis. Summary of Quantitative Analysis Neuman and Robson Ch. 11. Analyzing Quantitative Data (for brief review only). Parametric Statistics : -appropriate for interval/ratio data -generalizable to a population -assumes normal distributions Non-Parametric Statistics:

266 views • 16 slides

Chapter 13

Chapter 13. Using Inferential Statistics. Basic Concepts. Sampling Distribution The distribution of every possible sample taken from a population The critical values of a statistic are the sampling distribution for that statistic Sampling Error

172 views • 16 slides

Regression vs. Correlation

Regression vs. Correlation. Both : Two variables Continuous data Regression : Change in X causes change in Y Independent and dependent variables or Predict X based on Y Correlation : No dependence (causation) assumed Estimate the degree to which 2 variables vary together.

252 views • 15 slides

Getting published

Getting published. Robert West. University College London February 2009. Choosing a journal Publication ethics Good citation practice Communicating the importance of your findings Power calculations. Doing the right statistics Qualitative research Acknowledging limitations

138 views • 13 slides

Choosing Statistical Procedures

Choosing Statistical Procedures. Types of Inferential Statistics. Parametric Statistics : estimate the value of a population parameter from the characteristics of a sample Assumes the values in a sample are normally distributed Interval/Ratio level data required Nonparametric Statistics :

399 views • 11 slides

Non-parametric Statistics

Non-parametric Statistics. EDRS 5305 Educational Research & Statistics. When to Use. Non-parametric statistics are used when: data are not normal (i.e., not normally distributed) assumptions inherent in parametric statistics are not met. Chi-Square.

206 views • 7 slides