MBS659_S1 (4) - MBS 659 Quantitative Research for Business...

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MBS 659 Quantitative Research for Business Unit Information and Learning Guide Semester 1, 2015 Unit coordinator Pavlo Blavatskyy School of Management and Governance © Published by Murdoch University, Perth, Western Australia, July 2014. Page 1 of 20
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Originally written by Geoff Baker, 2008 Revised by Xiaohui Zhang, 2014 Revised by Pavlo Blavatskyy 2015 This publication is copyright. Except as permitted by the Copyright Act no part of it may in any form or by any electronic, mechanical, photocopying, recording or any other means be reproduced, stored in a retrieval system or be broadcast or transmitted without the prior written permission of the publisher. Page 2 of 20
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CONTENTS UNIT INFORMATION ONE Introduction 5 TWO Resources for the unit 8 THREE Assessment 9 LEARNING GUIDE Introduction: How to use this learning Guide .......................................................... .14 SESSION 1: Introduction to Statistics ............................................................................ 15 SESSION 2: Probability and Distribution……… .......................................................... 16 SESSION 3: Sampling and Sampling Distribution ........................................................ 17 SESSION 4: Statistical Inference ................................................................................... 18 SESSION 5: Simple Linear Regression .......................................................................... 19 SESSION 6: Multiple Regression ................................................................................... 20 Page 3 of 20
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Quantitative Methods for Business MBS659 Unit Information This information should be read in conjunction with the online learning materials which can be found on your MyUnits page. Page 4 of 20
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ONE Introduction Unit overview Welcome to MBS659, Quantitative Research for Business. Almost all managers will use descriptive and inferential statistics as part of their work to explain and interpret information. This unit introduces data-analysis and decision making tools for managers. Students will be able to identify situations in which quantitative analysis can support problem solving and decision making. They will also gain experience in applying decision- analysis techniques and statistical packages in management contexts. These include the modelling of business research problems, descriptive measures of quantitative data and statistical inference. Prerequisites There are no formal prerequisites for this unit. Mathematics up to year 10 in Australian high schools provides sufficient background. Aims and outcomes Unit aims The broad aims of this unit are to: 1. Introduce students to the basic concepts of business statistics. 2. Provide the skills necessary in order to use statistical information for making business and research decisions 3. Understand ways in which statistical information can aid managerial decision Learning outcomes On successful completion of the unit you should be able to: 1. Understand and use appropriate statistical terminology 2. Understand the difference between descriptive and inferential statistics 3. Be able to produce and analyse statistical reports Page 5 of 20
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4. Understand ways in which statistical information can aid managerial decision making Graduate Attributes This unit will contribute to the development of the following Graduate Attributes. See - Development/Preparing-to-teach/Graduate-attributes/ 1. Communication 2. Critical & creative thinking Unit coordinator
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