Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Biostatistics in Public Health
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Über diesen Kurs
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
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Use statistical methods to analyze sampling distribution
Estimate and interpret 95% confidence intervals for single samples
Estimate and interpret 95% confidence intervals for two populations
Estimate and interpret p values for hypothesis testing
Kompetenzen, die Sie erwerben
- Confidence Interval
- Statistical Hypothesis Testing
- p values
- sampling
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Sampling Distributions and Standard Errors
Confidence Intervals for Single Population Parameters
Confidence Intervals for Population Comparison Measures
Two-Group Hypothesis Testing: The General Concept and Comparing Means
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
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Top-Bewertungen von HYPOTHESENÜBERPRÜFUNG IM ÖFFENTLICHEN GESUNDHEITSWESEN
Simply the best course ever illustrated so far!! Instructor Dr. John is an awesome motivator and true passionate instructor!
Very detailed lectures and mostly all the concepts were cleared by examples which was great for me to conceptualize all the topics in a simple manner. Thank you so much.
This course astonishingly improved my ability in interpreting scientific paper results related to public health. Highly recommended. Thanks in advance to Dr. McGready for being such a great instructor
Huge coverage of hypothesis testing. Some lectures were quite repetitive or similar in nature and those could be reshaped as it seemed puzzling and boring. However, It was an informative one.
Über den Spezialisierung Biostatistics in Public Health

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