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STAT1306 Introductory Statistics

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Course Reviews on STAT1306 Introductory Statistics

Shared by Anonymous

2020-05-11

Professor: Wat Kam-Pui, Gabrielle M. Jing


Course Description
Intro Probability Topics (Taught by Wat) - 1. Descriptive Stat 2. Combinatorics (Counting), 3. Probability (Conditional Probability, Bayes' Theorem, Inclusion-Exclusion), 4. Discrete Probability Distribution (Famous Distributions [Poisson, Binomial blah blah blah], Moment Generating Functions, Expectation Algebra), 5. Continuous Probability (Same as Discrete but Continuous Mode); Statistic Topics (Taught by Gabrielle) - 6. Central Lim Theorem and Normal Dist, 7. Maximum Likelihood Estimation, Method of Moments, 8. Hypothesis Testing 9. Regression and Correlation
Assessment
5% Assignments, 20% Class Tests (x 2, 10% each), 75% final :(
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Shared by Anonymous

2018-08-25

Professor: Dr E K F Lam


Course Description
The discipline of statistics is concerned with situations involving uncertainty and variability. The interpretation of data needs special techniques when variability plays a role, as it usually does. Thus statistics forms an important descriptive and analytical tool of many scientific disciplines. Candidates with a mathematical background will find this course suitable, because the language of mathematics allows the subject of statistics to be presented with economy and clarity.
Assessment
One 2-hour examination (75% weighting) and a coursework assessment (25% weighting) based on assignments, tutorials, and a test
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