Alison Gibbs, Jeffrey Rosenthal (University of Toronto)

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coursera-statistics-making-sense-of-data (167 files)

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lectures/week1-optional/Statistics Making Sense of Data 1.0 Installing R - Mac OSX (210).mp4 | 3.45MB |

lectures/week1-optional/Statistics Making Sense of Data 1.1 Installing R - PC (155).mp4 | 3.18MB |

lectures/week1-optional/Statistics Making Sense of Data 1.2 R tutorial for 1.2 Five Number Summary (409).mp4 | 5.27MB |

lectures/week1-optional/Statistics Making Sense of Data 1.3 R tutorial for 1.3 The Centre of The Data (416).mp4 | 6.22MB |

lectures/week1-optional/Statistics Making Sense of Data 1.4 R tutorial for 1.4 The Spread of The Data (443).mp4 | 6.03MB |

lectures/week1-optional/Statistics Making Sense of Data 1.5 R tutorial for 1.5 The Shape of The Data (501).mp4 | 7.34MB |

lectures/week1-optional/Statistics Making Sense of Data 1.6 R tutorial for 1.6 Categorical Variables (421).mp4 | 5.60MB |

lectures/week1/Statistics Making Sense of Data 0.0 1.1 Introduction (601).mp4 | 8.93MB |

lectures/week1/Statistics Making Sense of Data 0.1 1.2 Five Number Summary (844).mp4 | 13.66MB |

lectures/week1/Statistics Making Sense of Data 0.2 1.3 The Centre of the Data and the Effects of Extreme Values (735).mp4 | 9.46MB |

lectures/week1/Statistics Making Sense of Data 0.3 1.4 The Spread of the Data (957).mp4 | 15.86MB |

lectures/week1/Statistics Making Sense of Data 0.4 1.5 The Shape of the Data (1306).mp4 | 15.91MB |

lectures/week1/Statistics Making Sense of Data 0.5 1.6 Categorical Variables (807).mp4 | 15.02MB |

lectures/week1/Statistics Making Sense of Data 0.6 1.7 Some Features of Data (739).mp4 | 9.79MB |

lectures/week2-optional/Statistics Making Sense of Data 3.0 R tutorial for 2.1 Relationships Between Quantitative and Categorical Variables (445).mp4 | 6.53MB |

lectures/week2-optional/Statistics Making Sense of Data 3.1 R tutorial for 2.2 Examining Relationships Between Two Categorical Variables (809).mp4 | 10.94MB |

lectures/week2-optional/Statistics Making Sense of Data 3.2 R tutorial for 2.3 Relationships Between Two Quantitative Variables (234).mp4 | 3.21MB |

lectures/week2/Statistics Making Sense of Data 2.0 2.1 Relationships Between Quantitative and Categorical Variables (1117).mp4 | 17.85MB |

lectures/week2/Statistics Making Sense of Data 2.1 2.2 Examining Relationships Between Two Categorical Variables (1242).mp4 | 18.18MB |

lectures/week2/Statistics Making Sense of Data 2.2 2.3 Relationships Between Two Quantitative Variables (940).mp4 | 14.24MB |

lectures/week2/Statistics Making Sense of Data 2.3 2.4 Data Collection - Sampling (1124).mp4 | 15.59MB |

lectures/week2/Statistics Making Sense of Data 2.4 2.5 Data Collection - Observational Studies (934).mp4 | 12.37MB |

lectures/week2/Statistics Making Sense of Data 2.5 2.6 Data Collection - Experiments (1550).mp4 | 20.13MB |

lectures/week3-optional/Statistics Making Sense of Data 5.0 R tutorial for Week 3 Introduction to Probability (522).mp4 | 6.52MB |

lectures/week3/Statistics Making Sense of Data 4.0 3.1 The Need for Probability (730).mp4 | 15.84MB |

lectures/week3/Statistics Making Sense of Data 4.1 3.2 Some Probability Basics (952).mp4 | 15.19MB |

lectures/week3/Statistics Making Sense of Data 4.2 3.3 Probability Distributions (1659).mp4 | 25.88MB |

lectures/week3/Statistics Making Sense of Data 4.3 3.4 Long-Run Averages (1406).mp4 | 21.26MB |

lectures/week3/Statistics Making Sense of Data 4.4 3.5 Sampling Distributions (2526).mp4 | 33.09MB |

lectures/week4-optional/Statistics Making Sense of Data 7.0 R tutorial for 4.2 Confidence Intervals for Proportions (317).mp4 | 4.49MB |

lectures/week4-optional/Statistics Making Sense of Data 7.1 R tutorial for 4.3 Sample Size for Estimating a Proportion (230).mp4 | 3.21MB |

lectures/week4-optional/Statistics Making Sense of Data 7.2 R tutorial for 4.4 Confidence Intervals for Means (213).mp4 | 3.22MB |

lectures/week4/Statistics Making Sense of Data 6.0 4.1 Introduction to Confidence Intervals (956).mp4 | 13.94MB |

lectures/week4/Statistics Making Sense of Data 6.1 4.2 Confidence Intervals for Proportions (1043).mp4 | 15.47MB |

lectures/week4/Statistics Making Sense of Data 6.2 4.3 Sample Size for Estimating a Proportion (1048).mp4 | 14.10MB |

lectures/week4/Statistics Making Sense of Data 6.3 4.4 Confidence Intervals for Means (1105).mp4 | 15.77MB |

lectures/week4/Statistics Making Sense of Data 6.4 4.5 Robustness of Confidence Intervals (1930).mp4 | 24.96MB |

lectures/week5-optional/Statistics Making Sense of Data 9.0 R tutorial for 5.3 Hypothesis Testing for Proportions (314).mp4 | 4.87MB |

lectures/week5-optional/Statistics Making Sense of Data 9.1 R tutorial for 5.4 Hypothesis Testing for Means (250).mp4 | 4.05MB |

lectures/week5/Statistics Making Sense of Data 8.0 5.1 Introduction to Statistical Tests (737).mp4 | 10.28MB |

lectures/week5/Statistics Making Sense of Data 8.1 5.2 The Structure of Statistical Tests (1142).mp4 | 14.54MB |

lectures/week5/Statistics Making Sense of Data 8.2 5.3 Hypothesis Testing for Proportions (805).mp4 | 11.13MB |

lectures/week5/Statistics Making Sense of Data 8.3 5.4 Hypothesis Testing for Means (1021).mp4 | 14.42MB |

lectures/week5/Statistics Making Sense of Data 8.4 5.5 Power and Type I and Type II Errors (1944).mp4 | 24.88MB |

lectures/week5/Statistics Making Sense of Data 8.5 5.6 Some General Advice About Statistical Tests (1311).mp4 | 16.51MB |

lectures/week6-optional/Statistics Making Sense of Data 11.0 R tutorial for 6.2 Matched Pairs (425) REPOST.mp4 | 6.07MB |

lectures/week6-optional/Statistics Making Sense of Data 11.1 R tutorial for 6.3 Comparing Two Proportions (308) REPOST.mp4 | 4.19MB |

lectures/week6-optional/Statistics Making Sense of Data 11.2 R tutorial for 6.4 Comparing Two Means (243).mp4 | 3.79MB |

lectures/week6/Statistics Making Sense of Data 10.0 6.1 Connection Between Confidence Intervals and Hypothesis Testing (1126).mp4 | 17.26MB |

lectures/week6/Statistics Making Sense of Data 10.1 6.2 Matched Pairs (1332).mp4 | 18.03MB |

lectures/week6/Statistics Making Sense of Data 10.2 6.3 Comparing Two Proportions (1735).mp4 | 25.45MB |

lectures/week6/Statistics Making Sense of Data 10.3 6.4 Comparing Two Means (1719).mp4 | 24.70MB |

lectures/week7-optional/Statistics Making Sense of Data 13.0 R tutorial for 7.1 7.2 7.3 (350).mp4 | 5.59MB |

lectures/week7-optional/Statistics Making Sense of Data 13.1 R tutorial for 7.4 Residual Analysis and Transformations (332).mp4 | 5.05MB |

lectures/week7/Statistics Making Sense of Data 12.0 7.1 The Linear Regression Formula (933).mp4 | 14.48MB |

lectures/week7/Statistics Making Sense of Data 12.1 7.2 Regression Coefficients Residuals and Variances (1215).mp4 | 17.61MB |

lectures/week7/Statistics Making Sense of Data 12.2 7.3 Regression Inference and Limitations (1134).mp4 | 16.24MB |

lectures/week7/Statistics Making Sense of Data 12.3 7.4 Residual Analysis and Transformations (1100).mp4 | 15.59MB |

lectures/week8-optional/Statistics Making Sense of Data 15.0 R tutorial for 8.2 8.3 (442).mp4 | 6.42MB |

lectures/week8/Statistics Making Sense of Data 14.0 8.1 Introduction to the Case Study (1313).mp4 | 17.35MB |

lectures/week8/Statistics Making Sense of Data 14.1 8.2 Study Design (1453).mp4 | 18.46MB |

lectures/week8/Statistics Making Sense of Data 14.2 8.3 The First Look at the Data (1748).mp4 | 23.40MB |

lectures/week8/Statistics Making Sense of Data 14.3 8.4 Formal Analyses and Conclusions (1858).mp4 | 23.57MB |

lectures/week8/Statistics Making Sense of Data 14.4 8.5 Optional Final Song (439).mp4 | 14.69MB |

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@article{, title= {[Coursera] Statistics: Making Sense of Data}, keywords= {}, journal= {}, author= {Alison Gibbs, Jeffrey Rosenthal (University of Toronto)}, year= {2013}, url= {}, license= {}, abstract= {This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world. 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. This course will provide an intuitive introduction to applied statistical reasoning, introducing fundamental statistical skills and acquainting students with the full process of inquiry and evaluation used in investigations in a wide range of fields. }, superseded= {}, terms= {} }