PPT-Analysing correlated data

Maureen Meadows Senior Lecturer in Management Open University Business School Discuss different forms of dependency and correlation that we might find in our datasets Explore why it might sometimes be problematic to get a good measure of correlation. G322 Exam – Section A. Analysing Representation. Gender . Age . Ethnicity . Class and status. Sexuality. Physical . ability/disability . Regional . identity . Analysing CLASS & STATUS. Alexander . Kotov. , . ChengXiang. . Zhai. , Richard . Sproat. University of Illinois at Urbana-Champaign. Roadmap. Problem definition. Previous work. Approach. Experiments. Summary. Motivation. Web data is generated by a large number of textual streams (news, blogs, tweets, etc. Analysing Structures ref: 12712.035 - BA Page 1 ( 14 ) www.tacso.org This material ha s been developed by MDF Analysing Structures 1. Introduction When explaining about their organisation the first G322 Exam – Section A. Analysing Representation. Gender . Age . Ethnicity . Sexuality . Class . and status . Physical . ability/disability . Regional . identity . Analysing ETHNICITY. Analysing Markets and . Marketing . BUSS3.8 Analysing Markets and Marketing . . Analysing Markets and Marketing . In this topic you will learn about:. Reasons for, and the value of, market analysis. CONTEXT. Understanding the wider context and underlying themes gleaned from research and used to inform your opinion. RESEARCH. Research using a variety of secondary sources and collecting comments, quotes and discussion points. Meng Yang. Phonetics Seminar. March 7, 2016. The Plan. Background: . C. ue weighting and cue shifting. Theories and predictions. My research questions. Methods (brace yourselves…). Results (yay!). Discussion. Wendy . Elrick & Emma . McCluskey. Disclaimers. Not the SQA!. Wendy taught . old qualifications before switching to . new. Emma has just finished her first year of teaching Media at N4 and N5. Mainly . P Jenkins. Unit 3 English. . improving your writing. . analysing. visuals. Linking Words. i. n addition. f. or this reason. a. s a result. h. owever. f. inally. m. oreover. i. n contrast. t. hus. L/O: To structure and analyse your data effectively. What do you need to start?. Introduction. Hypothesis. Definition of QOL. Background Info. Research on the two areas. Method (Table). How you will investigate this. Meng Yang. Phonetics Seminar. March 7, 2016. The Plan. Background: . C. ue weighting and cue shifting. Theories and predictions. My research questions. Methods (brace yourselves…). Results (yay!). Discussion. 1. Day 4: SPIRE .  . Rosalind Hopwood.  . Herschel Online Data Processing Workshop 19th June 2015. 2. The FTS flyer. http://. herschel.esac.esa.int. /. twiki. /pub/Public/. SpireCalibrationWeb. /FTS-flyer-landscape_v12_A4.pdf. Lesson 4. Lesson Objective – Nod y . wers. To . analyse questionnaire data in . order to identify if your school is sustainable.. To use your research to identify and make decisions on ways to improve the schools sustainability.. Health Policy and Service Provider Perspective. Alan Cahill. Agenda. Previous health expenditure data. Potential of System of Health Accounts. Additional reporting items. International indicators. Issues.