Exploratory data analysis (or descriptive statistics) is used to summarize the collected data. EDA consists of organizing and summarizing the raw data,
discovering important features and patterns in the data and any striking deviations from those patterns, and then interpreting our findings in the context of the problem.
This can be useful for describing the distribution of a single variable (center, spread, shape, outliers), checking data (for errors or other problems), checking assumptions to more complex statistical analyses, and investigating relationships between variables.
Published: Aug 21st, 2012
The Five Number Summary The Boxplot Side-By-Side (Comparative) Boxplots Let’s Summarize CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods based on these distinctions, and interpret […]
Published: Aug 21st, 2012
Using the IQR to Detect Outliers The 1.5(IQR) Criterion for Outliers The 3(IQR) Criterion for Outliers Understanding Outliers CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical […]
Published: Aug 21st, 2012
Introduction Range Inter-Quartile Range (IQR) Standard Deviation Properties of the Standard Deviation Choosing Numerical Measures Let’s Summarize CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods […]
Published: Aug 21st, 2012
Introduction Mean Median Comparing the Mean and the Median Let’s Summarize CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods based on these distinctions, and interpret […]
Published: Aug 19th, 2012
Histograms Stemplot (Stem and Leaf Plot) Let’s Summarize CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods based on these distinctions, and interpret the results. LO […]
Published: Aug 19th, 2012
Distribution of One Quantitative Variable Graphs Numerical Measures CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical methods based on these distinctions, and interpret the results. Video: One […]
Published: Aug 4th, 2012
Distribution of One Categorical Variable Numerical Measures Visual or Graphical Displays Pie Chart Bar Chart Pictograms Let’s Summarize CO-4: Distinguish among different measurement scales, choose the appropriate descriptive and inferential statistical […]
Published: Jul 30th, 2012
The Big Picture Exploratory Data Analysis Important Features of Exploratory Data Analysis Examining Distributions CO-1: Describe the roles biostatistics serves in the discipline of public health. CO-6: Apply basic concepts of […]
Published: Jul 30th, 2012
CO-1: Describe the roles biostatistics serves in the discipline of public health. Throughout the course, we will add to our understanding of the definitions, concepts, and processes which are introduced here. […]
Published: Jul 28th, 2012
Review of the Big Picture Probability and Inference CO-1: Describe the roles biostatistics serves in the discipline of public health. CO-6: Apply basic concepts of probability, random variation, and commonly used statistical […]