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Coursera - Statistics: Making Sense of Data (University of Toronto) WEBRip | English | MP4 | 960 x 540 | AVC 80.8 kbps | 15 fps AAC | 128 Kbps | 44.1 KHz | 2 channels | 10 hours | 801 MB Genre: eLearning Video / Science, Mathematics, Statistics & Probability
We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected to form the basis for decisions by governments, businesses, and other organizations, as well as by individuals in their daily lives. To cope effectively, every informed citizen must be statistically literate. Syllabus A first look at data Weeks 1-2: Summary statistics and graphical displays for a single categorical or quantitative variable and for relationships between two variables. Collecting data Week 2: Sampling. Observational studies and experiments. The effect of confounding and concluding causation. Probability Week 3: Probability models, the normal distribution, the Law of Large Numbers, the Central Limit Theorem, sampling distributions. Confidence Intervals Week 4: Confidence intervals and sample size estimation for proportions and means. Tests of significance Week 5: Tests of significance, power and sample size estimation for proportions and means Two samples Week 6: Tests of significance and confidence intervals for proportions and means in the two sample case. Simple linear regression Week 7: Method of least squares, evaluating model fit, the effects of outliers and influential observations. The process of statistical inquiry Week 8: Capstone case study. Taught by Alison Gibbs and Jeffrey Rosenthal
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