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.
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: JHSPH Open
|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|
No Reviews found for this course.