Answer (end of Chapter 1) questions 5‚ 7‚ 13‚ 17‚ 21‚ 25‚ 27‚ and 31. 5. In an experiment‚ researchers measure two types of variables: independent and dependent variables. (a) Which variable is manipulated to create the groups? Independent variable (b) Which variable is measured in each group? Dependent variable 7. Can a nominal variable be numeric? Explain. Yes. Just as described in the textbook (Page 100)‚ numbers on a nominal scale identify something or someone; they provide no additional information
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Market Research Nike : Associating Athletes‚ Performance‚ and the Brand 12/16/2013 PGDITBM 13-14 (Group 3) Submitted By: Karuna Turlapati (13030264008) Lokesh Jha (13030264009)
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Chapter VIII Measurement and Scaling: Fundamentals and Comparative Scaling Chapter Outline 1) Overview 2) Measurement and Scaling 3) Primary Scales of Measurement i. Nominal Scale ii. Ordinal Scale iii. Interval Scale iv. Ratio Scale 4) A comparison of Scaling Techniques Chapter Outline (cont.) 5) Comparative Scaling Techniques 6) Verbal Protocols 7) International Marketing Research 8) Ethics in Marketing Research MEASUREMENT AND SCALING Measurement: The assignment of numbers or other symbols
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Biostatistics College of Medicine University of Malawi 2011 1 Learning Objectives By the end of this lesson you should be able Explain importance of Biostatistics Distinguish between types of variables Explain different types of measurement scales 2011 2 Page 1 Definition of Statistics Statistics is the science that studies the collection and interpretation of numerical data. Field of statistics is divided into Mathematical and Applied statistics. 2011 3 Applied statistics concerns the
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management eliminate the negative repercussions of the allocation of fund distributions? 3. Investigative Questions - Should we examine past and present Campaign ads? - Should we re-examine the Red Cross handling of September 11? 4. Measurement Questions - What is the likelihood that donors want give do to the problems from September 11 - Examine each type of Campaign Ad: fires‚ floods‚ large catastrophes 3. If you created an RFP‚ what would it contain? My RFP would contain
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Chapter 1 Data and Statistics Learning Objectives 1. Obtain an appreciation for the breadth of statistical applications in business and economics. 2. Understand the meaning of the terms elements‚ variables‚ and observations as they are used in statistics. 3. Obtain an understanding of the difference between categorical
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QUANTITATIVE DATA ANALYSIS USING SPSS AN INTRODUCTION FOR HEALTH AND SOCIAL SCIENCE Pete Greasley Quantitative Data Analysis Using SPSS Quantitative Data Analysis Using SPSS An Introduction for Health & Social Science Pete Greasley Open University Press McGraw-Hill Education McGraw-Hill House Shoppenhangers Road Maidenhead Berkshire England SL6 2QL email: enquiries@openup.co.uk world wide web: www.openup.co.uk and Two Penn Plaza‚ New York‚ NY 10121-2289‚ USA First published
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2. a. The ten elements are the ten cars b. 5 variables: Size‚ Cylinders‚ City MPG‚ Highway MPG‚ and Fuel c. Categorical variables: Size and Fuel Quantitative variables: Cylinders‚ City MPG‚ and Highway MPG d. Variable Measurement Scale Size Ordinal Cylinders Ratio City MPG Ratio Highway MPG Ratio Fuel Nominal 5. a. Average endowment = 74.6/7 = $10.657 billion b. Average percentage admitted = 111/7 = 15.86% c. 3 of 7 or 42.9% have NCAA Division III
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political affiliation)‚ are the simplest. Attitude scales such as the Likert scale are examples of ordinal data. A Likert-type scale asks you to answer a question by making a choice along a range of answers numbered from‚ say‚ 1 through 5. With interval level data‚ the values tell you something about the difference between given values. Test score data‚ for example‚ are often interval. Consider the design of your study. The gold standard in most research is the randomized experiment‚ in which subjects
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R as a Tool for Statistical Analysis Getting Started with R (Part I) The > is called the prompt. If a command is too long to fit on a line‚ a + is used for the continuation prompt. Assign values to an object using the equal sign (=)‚ e.g.‚ >x=11. Note: R is case sensitive Print command allows you to see the value in an object You may also use the less than sign and a dash to create an arrow (<-) to assign values. An equal sign (=) is also used to assign values. R easily overwrites
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