'Theoretical probability distribution' presentation slideshows

Introduction to Biostatistics for Clinical Researchers

Introduction to Biostatistics for Clinical Researchers. University of Kansas Department of Biostatistics & University of Kansas Medical Center Department of Internal Medicine. Schedule. Friday, December 10 in 1023 Orr-Major Friday, December 17 in B018 School of Nursing

1.53k views • 131 slides

Probability Distributions

898 views • 63 slides

Review of material from previous week: Variance

Review of material from previous week: Variance. The variance (s 2 ) is the sum of the squared deviations from the sample mean, divided by N-1 where N is the number of cases. (Note: in the formula for the population variance, the denominator is N rather than N-1). Formula for sample variance.

842 views • 51 slides

Sampling and Sampling Distributions

Sampling and Sampling Distributions. Aims of Sampling Probability Distributions Sampling Distributions The Central Limit Theorem Types of Samples. Aims of sampling. Reduces cost of research (e.g. political polls)

996 views • 33 slides

M obile C omputing G roup

M obile C omputing G roup. A quick-and-dirty tutorial on the chi2 test for goodness-of-fit testing. Outline. The presentation follows the pyramid schema. Chi2 tests for GoF. Goodness-of-fit (GoF). Background -concepts. Background. Descriptive vs. inferential statistics

291 views • 19 slides

Quick Review

Quick Review. Central tendency: Mean, Median, Mode Shape: Normal, Skewed, Modality Variability: Standard Deviation, Variance. Quick Review. Evaluating scores. Raw score of X: -Measure of absolute standing Difficult to interpret Z-SCORE - Measure of relative standing. Z-Transformation.

275 views • 17 slides