Hypothesis Testing
... Effect size statistics provide estimates that are independent of idiosyncrasies of any given sample. They typically translate mean differences into standard deviation units. i.e. Cohen’s d = (Mean1-Mean2)/SD For this stat, small=.2, medium=.5, and large>.8 (See Cohen, J. (1992). A Power Primer. Ps ...
... Effect size statistics provide estimates that are independent of idiosyncrasies of any given sample. They typically translate mean differences into standard deviation units. i.e. Cohen’s d = (Mean1-Mean2)/SD For this stat, small=.2, medium=.5, and large>.8 (See Cohen, J. (1992). A Power Primer. Ps ...
Follow up Courses in Probability and Statistics!
... This course is a more theoretical introduction to statistics than Stat 402. It uses probability theory developed in Math/Stat 425 to understand how standard statistical procedures work and why they are effective. Sampling distributions for estimators are introduced and used to set confidence interva ...
... This course is a more theoretical introduction to statistics than Stat 402. It uses probability theory developed in Math/Stat 425 to understand how standard statistical procedures work and why they are effective. Sampling distributions for estimators are introduced and used to set confidence interva ...
Probability: Many Random Variables (Part 2)
... = Σa I a We know each Ia has the same mean, so E(Σa Ia) = nLpL ...
... = Σa I a We know each Ia has the same mean, so E(Σa Ia) = nLpL ...
STAT - University of New Brunswick
... Statistics, sampling, estimation and hypothesis testing, curve fitting, quality control. Note: Credit can be obtained for only one of STAT 1793, STAT 2263, STAT 2593, BA 1605, PSYC 2901. Prerequisite: MATH 1013 . STAT2793 ...
... Statistics, sampling, estimation and hypothesis testing, curve fitting, quality control. Note: Credit can be obtained for only one of STAT 1793, STAT 2263, STAT 2593, BA 1605, PSYC 2901. Prerequisite: MATH 1013 . STAT2793 ...
Syllabus
... improve ability to effectively communicate (written and oral) rationale and conclusions regarding statistical methods. learn how statistical techniques and tools can be used in everyday life. Specific Objectives: The student will learn to describe important features of distributions. use var ...
... improve ability to effectively communicate (written and oral) rationale and conclusions regarding statistical methods. learn how statistical techniques and tools can be used in everyday life. Specific Objectives: The student will learn to describe important features of distributions. use var ...
Section 6.3 geometric distribution
... In the last section we looked at the probability that a certain number of people in a group will have a certain characteristic. For example, in a group of 15 Congolese citizens picked at random, we could determine that exactly 3 of them would live in Kinshasa. Geometric distributions look at a diffe ...
... In the last section we looked at the probability that a certain number of people in a group will have a certain characteristic. For example, in a group of 15 Congolese citizens picked at random, we could determine that exactly 3 of them would live in Kinshasa. Geometric distributions look at a diffe ...
Economics 202
... Thus there is approximately a 16% chance of running out of water. Another way to do it is to multiply average usage (18) by the population, which gives the average total usage. Then figure out where 350,000 is relative to total usage, which again gives you about a 16% chance of running out of water. ...
... Thus there is approximately a 16% chance of running out of water. Another way to do it is to multiply average usage (18) by the population, which gives the average total usage. Then figure out where 350,000 is relative to total usage, which again gives you about a 16% chance of running out of water. ...
Lecture 4 : Bayesian inference
... should be updated in the light of the new data using Bayes’ theorem” ...
... should be updated in the light of the new data using Bayes’ theorem” ...
