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Statistical Reasoning in Public Health provides a broad overview of bio statistical methods and concepts used in the public health sciences, emphasizing interpretation and concepts rather than calculations or mathematical details. It develops ability to read the scientific literature to critically evaluate study designs and methods of data analysis, it introduces basic concepts of statistical inference, including hypothesis testing, p-values, and confidence intervals.

Assessment

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.

Certification

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Course Credit: JHSPH Open

Course Curriculum

Lecture 1 Describing Data, Part I 01:00:00
Lecture 1 a Describing Data, Part I 00:10:00
Lecture 1 b Describing Data, Part I 00:05:00
Lecture 1 c Describing Data, Part I 00:20:00
Lecture 1 d Describing Data, Part I 00:10:00
Lecture 1 e Describing Data, Part I 00:15:00
Lecture 1 f Describing Data, Part I 00:10:00
Lecture 2 Describing Data, Part II 00:45:00
Lecture 2 a Describing Data, Part II 00:10:00
Lecture 2 b Describing Data, Part II 00:20:00
Lecture 2 c Describing Data, Part II 00:10:00
Lecture 3 Sampling Variability and Confidence Intervals 01:00:00
Lecture 3 a Sampling Variability and Confidence Intervals 00:25:00
Lecture 3 b Sampling Variability and Confidence Intervals 00:15:00
Lecture 3 c Sampling Variability and Confidence Intervals 00:05:00
Lecture 3 d Sampling Variability and Confidence Intervals 00:10:00
Lecture 3 e Sampling Variability and Confidence Intervals 00:15:00
Lecture 3 f Sampling Variability and Confidence Intervals 00:10:00
Lecture 3 g Sampling Variability and Confidence Intervals 00:05:00
Lecture 3 Sampling Variability and Confidence Intervals 00:05:00
Lecture 4 An Introduction to Hypothesis Testing The Paired t-Test 01:00:00
Lecture 4 a An Introduction to Hypothesis Testing The Paired t-Test 00:10:00
Lecture 4 b An Introduction to Hypothesis Testing The Paired t-Test 00:20:00
Lecture 4 c An Introduction to Hypothesis Testing The Paired t-Test 00:15:00
Lecture 4 d An Introduction to Hypothesis Testing The Paired t-Test 00:15:00
Lecture 5 Comparing Means Amongst Two (or More) Independent Populations 01:00:00
Lecture 5 a Comparing Means Amongst Two (or More) Independent Populations 00:15:00
Lecture 5 b Comparing Means Amongst Two (or More) Independent Populations 00:05:00
Lecture 5 c Comparing Means Amongst Two (or More) Independent Populations 00:15:00
Lecture 5 d Comparing Means Amongst Two (or More) Independent Populations 00:05:00
Lecture 5 e Comparing Means Amongst Two (or More) Independent Populations 00:10:00
Lecture 5 f Comparing Means Amongst Two (or More) Independent Populations 00:15:00
Lecture 5 g Comparing Means Amongst Two (or More) Independent Populations 00:15:00
Lecture 6 Comparing Proportions Between Two Independent Populations 01:00:00
Lecture 6 a Comparing Proportions Between Two Independent Populations 00:15:00
Lecture 6 b Comparing Proportions Between Two Independent Populations 00:15:00
Lecture 6 c Comparing Proportions Between Two Independent Populations 00:15:00
Lecture 6 d Comparing Proportions Between Two Independent Populations 00:05:00
Lecture 6 e Comparing Proportions Between Two Independent Populations 00:10:00
Lecture 6 f Comparing Proportions Between Two Independent Populations 00:25:00
Lecture 6 g Comparing Proportions Between Two Independent Populations 00:10:00
Lecture 7 When Time Is of Interest The Case for Survival Analysis 00:55:00
Lecture 7 a When Time Is of Interest The Case for Survival Analysis 00:15:00
Lecture 7 b When Time Is of Interest The Case for Survival Analysis 00:20:00
Lecture 7 c When Time Is of Interest The Case for Survival Analysis 00:15:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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