Les infos clés
Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.
Lesson 8: EstimationYou will learn how to estimate population parameters from sample statistics using confidence intervals and estimating the effect of a treatment.
Lesson 9: Hypothesis TestingYou will learn how to use critical values to make decisions on whether or not a treatment has changed the value of a population parameter.
Lesson 10,11: t-testsYou will learn how to test the effect of a treatment or compare the difference in means for two groups when we have small sample sizes.
Lesson 12,13: ANOVAYou will learn how to test whether or not there are differences between three or more groups.
Lesson 14: CorrelationYou will learn how to describe and test the strength of a relationship between two variables.
Lesson 15: RegressionYou will learn how to describe the way in which changes in one variable are related to changes in a second variable.
Lesson 16: Chi-squared TestsYou will learn how to compare and test frequencies for categorical data.
Final ProjectYou will use the methods you have learned in this course to perform an analysis on a dataset and report your findings. You will describe the data, calculate statistics, perform inference, and make conclusions.
- Sean Laraway - Sean Laraway has taught at San Jose State University since 2004. He completed a post-doctoral fellowship in Psychopharmacology. He has taught statistics at the undergraduate and graduate levels since 1998. He earned his MA and PhD in Behavior Analysis from Western Michigan University in 2003.
- Ronald Rogers - Ron Rogers has been a professor of psychology at San Jose State University since 1999. Dr. Rogers has developed and taught statistics and research methods courses at both the undergraduate and graduate level. He earned his M.A. and Ph.D. in Behavioral Neuroscience from Rutgers University in 1995.
Udacity est une entreprise fondé par Sebastian Thrun, David Stavens, et Mike Sokolsky offrant cours en ligne ouvert et massif.
Selon Thrun, l'origine du nom Udacity vient de la volonté de l'entreprise d'être "audacieux pour vous, l'étudiant ". Bien que Udacity se concentrait à l'origine sur une offre de cours universitaires, la plateforme se concentre désormais plus sur de formations destinés aux professionnels.