PPT-4.4 Outliers and Dot Plots

What is an outlier Sometimes distributions are characterized by extreme values that differ greatly from the other observations These extreme values are called outliers How do you know if a data point is an outlier. regression models, the outliers can affect the estimated correlation coefficient [10]. Presence of outliers in training and testing data can bring about several difficulties for methods of decision- HOW DO YOU KNOW WHEN TO THROW OUT A PLOT?. MY APPROACH. OBVIOUS POOR STANDS. WHEN UNSURE THEN NOTE PLOTS. EXAMINE DATA AFTER HARVEST. USE DIXON’S TEST FOR OUTLIERS. DIXON’S TEST FOR OUTLIERS. SUBTRACT SUSPECT VALUE WITH NEXT HIGHEST OR LOWEST AND DIVIDE BY SUSPECT MINUS LOWEST OR HIGHEST.. Don’t use default Excel plots!. Figure . should highlight the key relationships in the data. .. Should . be clear - no extraneous legends, lines, only use annotations when they add real explanatory value.  . Identifying Outliers: More about this interpolation stuff..... Whenever the depth of a median or a fourth is a decimal (??.5), then you must interpolate. That is, you must find thevalue of the Key concepts. Testing conditions of applications in complex study design. Residuals. Tests of normality. Residuals plots. Residuals vs. fitted. QQ plots. Cook’s distance. Conditions of applications. Plots and Stuff. 1. A plot is. a two-dimensional display. (. it fits on a sheet of paper. ). of. points. or. curves. or. regions. .. Plots and Stuff. 2. Plots and Stuff. 3. (5,8). x. y. (8,22). points. A diagram that summarizes data by dividing it into four parts.. It compares two sets of data.. Box and Whisker Plots. (UQ) Upper Quartile . Is the median of the upper half of the data. (UE) Upper Extreme-. . –. A list of numbers or attributes characterizing an observation or experiment. Vectors can be pictures!. Some Important Terms. Represent normalized . intensities of mixture . Components as arrows:. New . planks in an old campaign. Nicholas J. Cox. Department of Geography. 1. Quantile plots. Quantile plots show . ordered . values (raw data, estimates, residuals, whatever) . against . rank . or cumulative probability or a one-to-one function of . The Story of Success. By Malcolm Gladwell . What is an Outlier?. out-li-. er. . (n.). 1. something that is situated away from or classed differently from a main or related body. . 2. a statistical observation that is markedly different in value from the others of the sample. . Course 2. Warm Up. Problem of the Day. Lesson Presentation. Warm Up. Use the data below for Questions 1-4.. 14, 25, 37, 53, 26, 12, 70, 31. 1.. What is the mean?. 2.. What is the median?. 3.. What is the mode?. 5.0. This chapter will cover 2D (two-dimensional) plots. Many options:. Linear, semi-logarithmic, logarithmic axes. Line type, color, thickness. Lots of different data-point markers. Grid lines, titles, text comments, legends. MAFS.912.S-ID.1.1. :. Represent data with plots on the real number line (dot plots, histograms, and box plots. ).. MAFS.912.S-ID.1.3:. Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).. Nicholas J. Cox. Department of Geography. 1. Quantile plots. Quantile plots show . ordered . values (raw data, estimates, residuals, whatever) . against . rank . or cumulative probability or a one-to-one function of .