关键信息
关于内容
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.
课程大纲
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.
教师
- Alison Gibbs - Department of Statistical Sciences
- Jeffrey Rosenthal - Department of Statistical Sciences
内容设计师
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
