EXPLORATORY DATA ANALYSIS and DESCRIPTIVE STATISTICS

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Presentation transcript:

EXPLORATORY DATA ANALYSIS and DESCRIPTIVE STATISTICS

DESCRIBE & UNDERSTAND THIS DATA’S CHARACTERISTICS means to DESCRIBE & UNDERSTAND THIS DATA’S CHARACTERISTICS before you analyze this data

EXPLAINING INFERENTIAL STATISTICS this is part of EXPLAINING INFERENTIAL STATISTICS

Exploratory Data Analysis NOMINAL / ORDINAL (qualitative / categorical) DATA bar graphs, pie charts INTERVAL / RATIO (quantitative) DATA histograms, time plots, scatterplots CENTER of the data → calculate and compare mean and median SPREAD of the data → calculate range and standard deviation DISTRIBUTION (or shape) of the data → symmetric / bell shaped? skewed to the right/left? etc. OUTLIERS → [extreme] 3Interquartile Range above 3rd or below 1st quartile [moderate] 1.5(IQR) above 3rd or below 1st quartile

Interpreting Graphs direction (+ slope = direct relationship & – slope = inverse relationship) form (linear or curved) the spread or variability of the measurements represents the strength of correlation (R2) between X and Y the slope (b) of a regression line represents the rate of change in y as x changes