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Motivation of this course is to introduce the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. It presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: JHSPH Open

Course Curriculum

Lecture 1 Goodness of Fit 00:05:00
Lecture 2 Goodness of Fit Multinomial Distribution 00:10:00
Lecture 3 2×2 Tables, Hypergeometric Distribution, Paired Data 00:05:00
Lecture 4 r x k Tables, Sample Size 00:10:00
Lecture 6 Variances; Introduction to ANOVA 00:10:00
Lecture 7 ANOVA Permutation Tests, Random Effects 00:10:00
Lecture 8 ANOVA Model Assumptions and Diagnostics 00:05:00
Lecture 9 ANOVA Multiple Comparisons 00:15:00
Lecture 10 ANOVA Non-parametric Methods 00:05:00
Lecture 11 ANOVA Nested Models 00:05:00
Lecture 12 ANOVA Two-Way Analysis of Variance 00:10:00
Lecture 13 Simple Linear Regression 00:05:00
Lecture 14 Regression and Correlation 00:05:00
Lecture 15 Simple Linear Regression Tests and Confidence Intervals 00:10:00
Lecture 16 Simple Linear Regression Prediction and Calibration 00:05:00
Lecture 17 Multiple Linear Regression Introduction 00:05:00
Lecture 18 Multiple Linear Regression Diagnostics 00:05:00
Lecture 20 Non-linear Regression 00:05:00
Lecture 21 Logistic Regression 00:10:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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