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.
Este curso forma parte de Programa especializado: Biostatistics in Public Health
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Acerca de este Curso
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
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Prueba Coursera para negociosQué aprenderás
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
Habilidades que obtendrás
- 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.
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
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
Project
Reseñas
- 5 stars84,77 %
- 4 stars13,27 %
- 3 stars1,23 %
- 2 stars0,35 %
- 1 star0,35 %
Principales reseñas sobre PRUEBA DE HIPÓTESIS EN EL ÁREA DE LA SALUD PÚBLICA
it was amazing to learn from such a good mentor. I learn about many things that I didn't know. I learn more about the thing that I've already known.
Excellent course, excellent teaching. Prof McGready knows his stuff and also knows how to teach it. The projects exercices are fun to work on and see how statistics is used in research.
Very easy to follow, at just the right level for a non-statistician who would still like to apply this in their professional / research life
This course is extremely easy to understand. Now I can get a good grasp of the Confidence Interval and Hypothesis Testing. Thanks a lot!
Acerca de Programa especializado: Biostatistics in Public Health

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