Probability and Statistics IV: Confidence Intervals and Hypothesis Tests
This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug?"
Elige tu sesión:
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests
De un vistazo
- Institución: GTx
- Tema: Análisis de datos
- Nivel: Intermediate
- Prerrequisitos:
Learners will be expected to come in knowing some set theory and basic calculus, as well as the material from the previous courses in this series ( A Gentle Introduction to Probability , Random Variables, and A Gentle Introduction to Statistics ). The prerequisite material is all available for you to access; and in any event, we will make the current course as self-contained as possible. In addition, this course will involve a bit of computer programming, so it would be nice to have at least a little experience in something like Excel and/or the R freeware statistical package.
- Idioma: English
- Transcripción de video: English
- Programas asociados:
- Professional Certificate en Statistics, Confidence Intervals and Hypothesis Tests