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Learn statistics and probability—everything you'd want to know about descriptive and inferential statistics.
Aug 17, 2023 · 1. Introduction. 2. Graphing Distributions. 3. Summarizing Distributions. 4. Describing Bivariate Data. 5. Probability. 6. Research Design. 7. Normal Distributions. 8. Advanced Graphs. 9. Sampling Distributions. 10. Estimation. 11. Logic of Hypothesis Testing. 12. Testing Means.
Mar 26, 2023 · Statistics is a study of data: describing properties of data (descriptive statistics) and drawing conclusions about a population based on information in a sample (inferential statistics). The distinction between a population together with its parameters and a sample together with its statistics is a fundamental concept in inferential statistics.
Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts.
Feb 13, 2024 · Statistics is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions from data. The two major areas of statistics are descriptive and inferential...
Unit 1: Exploring categorical data. 0/1000 Mastery points. The language of variation: Variables Representing a categorical variable with graphs Representing two categorical variables. Statistics for two categorical variables. Unit 2: Exploring one-variable quantitative data: Displaying and describing. 0/700 Mastery points.
Introduction to Statistics. XFDS110. Stanford School of Humanities and Sciences. Enroll Now. Format. Online, self-paced, Coursera. Programs. Notes. Stanford courses offered through Coursera are subject to Coursera’s pricing structures.
