This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. This course demonstrates the methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. It also 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
|Lecture 1 What is Statistics||00:10:00|
|Lecture 2 Displaying Data Badly; Data Summaries||00:10:00|
|Lecture 3 Experimental Data||00:10:00|
|Lecture 4 Observations Studies||00:05:00|
|Lecture 5 Probability, Conditional Probability||00:05:00|
|Lecture 6 Examples, Bayes’s Theorem||00:05:00|
|Lecture 8 Random Variables, Distributions, Binomal, Poisson||00:15:00|
|Lecture 9 Normal Distribution, Multiple Random Variables||00:10:00|
|Lecture 10 Sampling Distributions; Central Limit Theorem||00:10:00|
|Lecture 12 Maximum Likelihood Estimation||00:05:00|
|Lecture 13 Confidence Interval||00:05:00|
|Lecture 14 CIs for Differences Between Means; CIs for Population SD||00:10:00|
|Lecture 15 Tests of Hypotheses||00:05:00|
|Lecture 17 Calculation of Sample Size and Power||00:05:00|
|Lecture 18 Permutation Tests and Other Non-Parametric Tests||00:05:00|
|Lecture 19 Confidence Interval for a Proportion||00:05:00|
|Lecture 20 Uses and Abuses of Tests||00:05:00|
|Lecture 22 Analysis of Gene Expression Microarrays||00:10:00|
|Lecture 23 Identifying Essential Genes in M tuberculosis||00:10:00|
|Submit Your Assignment||00:00:00|
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