In this episode, Ron Landis and Jennifer Miller deconstruct the importance of utilizing descriptive statistics as the foundation of starting the data analytic process. As many advanced statistical techniques are built on descriptives such as the mean and standard deviation, it is imperative to understand the characteristics of the data set being analyzed.  In this episode, they have conservations around the following questions: What are the various ways in which central tendency is used to understand the nature of a data set? What are the advantages and disadvantages of using different measures of central tendency? What are the different measures of dispersion? What are some contexts in which certain measures of dispersion should be used? Links ExerciseExercise Solution

Ver todos los episodios