NOTE: This course has been divided into two courses: Descriptive and Inferential Statistics. If you are new to statistics, we recommend taking these courses instead.
We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.
Why Take This Course?
The applications of statistics to everyday life
Methods for acquiring data through observation and experimentation
To organize and describe quantitative and categorical forms of data
Anticipating patterns using basic probability and sampling
Statistical inference through estimation and hypothesis testing
Correlation and simple regression
Ways of describing the strength of relationships between variables
Module 1: Introduction to Statistics and Methods
Lesson 1: Intro to statistical research methods
Lesson 2: Frequency Distributions & Visualizing data
Module 2: Describing Data
Lesson 3: Central Tendency
Lesson 4: Variability
Midterm 1 on Lessons 1-4
Module 3: Normal Distribution Analysis
Lesson 5: Standardized Scores (z-scores)
Lesson 6: Probability and the Normal Distribution
Lesson 7: Sampling Distributions
Module 4: Foundations of Inferential Statistics
Lesson 8: Estimation
Lesson 9: Hypothesis Testing
Midterm 2 on Lessons 5-9
Module 5: Comparing Means
Lesson 10-11: t-tests
Lesson 12-13: One-way ANOVA
Module 6: Correlation, Regression, and Non-Parametrics
completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
This class is perfect for the Statics beginner. It gives a thorough and easy to understand explanation about the key concepts in Statistics with examples and reinforcing exercises.
I was struggling at separating the mean (μ) for the sample mean (x-bar) and didn't have the slightest idea of what "standard deviation" was until I took this class. I'm very grateful for it and although it doesn't cover fully the topics of an intro to Stats class, it explains core concepts perfectly!
This course starts out simple and steadily accelerates in difficulty. I realized towards the end that the beginning of the course helped me build a strong foundation in understanding and analyzing distributions, which are key to all the statistical tests you learn later (e.g., z-tests, t-tests, chi-squared tests).