'True population value' diaporamas de présentation

Correlation

Correlation. Hal Whitehead BIOL4062/5062. The correlation coefficient Tests Non-parametric correlations Partial correlation Multiple correlation Autocorrelation Many correlation coefficients. The correlation coefficient. Linked observations: x 1 , x 2 ,..., x n y 1 , y 2 ,..., y n

1.09k views • 53 slides

Data Analysis: Simple Statistical Tests

Data Analysis: Simple Statistical Tests. Goals. Understand confidence intervals and p-values Learn to use basic statistical tests including chi square and ANOVA . Types of Variables. Types of variables indicate which estimates you can calculate and which statistical tests you should use

989 views • 45 slides

Data Analysis: Simple Statistical Tests

Data Analysis: Simple Statistical Tests. Goals. Understand confidence intervals and p-values Learn to use basic statistical tests including chi square and ANOVA . Types of Variables. Types of variables indicate which estimates you can calculate and which statistical tests you should use

1.14k views • 45 slides

Section IV

559 views • 42 slides

Biostatistical Pearls For Clinical Researchers

545 views • 35 slides

Biostatistical Pearls For Clinical Researchers

512 views • 32 slides

Sampling

526 views • 26 slides

Review for Exam Three

Review for Exam Three.

363 views • 23 slides

AAEC 4302 ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH

AAEC 4302 ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH. Chapter 11: Sampling Theory in Regression Analysis. Statistical Inference.

387 views • 22 slides

Survey Methodology Sampling error and sample size

Survey Methodology Sampling error and sample size. EPID 626 Lecture 4. Lecture overview. Finish discussion of nonprobability sampling Discuss sampling error Discuss sample sizes Some practical exercises. Nonprobability sampling designs.

611 views • 20 slides

Type I and Type II Errors

413 views • 19 slides

Inferential Statistics

Inferential Statistics. Chapter 13. Inferential Statistics. Inferential stats are used to determine whether we can make statements that the results found in the present experiment reflect a true difference in the entire population of interest and not just the sample used in the experiment.

531 views • 18 slides

Potential Errors In Epidemiologic Studies

Potential Errors In Epidemiologic Studies. Introduction . I . Dr. Sherine Shawky. Learning Objectives. Recognize the possible research errors Understand the difference between random error, bias and confounding. Performance Objectives. Adopt the epidemiologic thinking process

302 views • 13 slides