list 47 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
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Key information

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timer 282 hours in total

About the content

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.

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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.

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Instructors

  • Alison Gibbs - Department of Statistical Sciences
  • Jeffrey Rosenthal - Department of Statistical Sciences
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Content designer

University of Toronto
Established in 1827, the University of Toronto has one of the strongest research and teaching faculties in North America, presenting top students at all levels with an intellectual environment unmatched in depth and breadth on any other Canadian campus.
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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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