PPT-Innovation Outliers: Successful New Ways to Grow Your Audie

Amy Milner Director Acquisitions October 2 2014 The Economist was founded in 1843 to advocate free trade and freedom to the individual And for 171 years its mission has remained the same The extreme centre is . 21. , 1, 1, 0, 3, 1, 2, 2. Which measure of central tendency will best convey how often the students typically eat out?. Possible Answers: Mean, Median, or Mode. The Scenario. Mean. : The arithmetic average. Add up all of the values and divide by the number of scores.. OUTLIER FORMULAS. BOX PLOTS. HISTOGRAMS. DESCRIBING A DISTRIBUTION (C.U.S.S.). STANDARD DEVIATION AND VARIANCE. Create a Box Plot of this data.. We need the 5# summary, which consists of the min,Q1,Med,Q3, max. 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?. Jobs using . Mantri. Ganesh Ananthanarayanan. †. , Srikanth Kandula*, Albert Greenberg*, Ion Stoica. †. , Yi Lu*, Bikas Saha*, Ed Harris*. . †. UC Berkeley * . Microsoft. 1. MapReduce Jobs. Jimmy Johansson, Patric Ljung, Mikael Jern, Matthew Cooper . NVIS- Norrkoping Visualization and Interaction Studio, Linkoping University, Sweden . Presented by . Xinyu. . Chang. Kent State University. Validating and Preparing your data. Lyytinen & Gaskin . Data Screening. Data screening . (also known for us as “data screaming”) ensures . your data is . “clean” . and ready to go before you conduct . Big thanks to the OTW . organisers. . and companies supporting it. Eric Grancher, . CERN IT. 1. Documents at . https. ://indico.cern.ch/event/459090. /. . Outliers matter. 2. Human perception (personal). Claim & Purpose. Prologue & Chapter 1 - 2. ~ Claim ~. People . are considered successful when they . express . particular traits and characteristics: . diligence. , . self-sacrifice. , . intelligence. 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. . The Practice of Statistics in the Life Sciences. Third Edition. © . 2014 . W.H. Freeman and Company. Objectives (PSLS . Chapter . 2). Describing distributions with numbers. Measure of center: mean and median. Olivier . Dupriez. World Bank, Development Data Group. odupriez@worldbank.org. 6 June 2013. Initial objective. Calculate poverty PPPs. Had price data at basic heading level from the ICP ; needed consumption shares “at the poverty line” for the same breakdown to be used as weights.. Section 1.2. Displaying Quantitative Data with Graphs. After this section, you should be able to…. CONSTRUCT and INTERPRET dotplots, stemplots, and histograms. DESCRIBE the shape of a distribution. By Ryan W., Enrique, Sebastian, Noah, Nico. Journal Topic. What problems have you faced when interacting with people of different cultures? Describe an experience.. Summary. This chapter talks about the respect of authority that is involved with different cultures and how well that they are willing to question authority. The difference in authority structures in some cultures makes it difficult for them to convey their issues. Also they talk about the misconception that a single problem will cause a whole situation to fail. Instead it is a mixture of different small problems that add up together to cause the ultimate big problems. The plane crashes were caused by a mixture of both these problems that ultimately led to both planes demises.. Section 1.2. Displaying Quantitative Data with Graphs. After this section, you should be able to…. CONSTRUCT and INTERPRET dotplots, stemplots, and histograms. DESCRIBE the shape of a distribution.