# MATH08010 2016 Big Data and Statistics

### General Details

Full Title
Big Data and Statistics
Transcript Title
Big Data and Statistics
Code
MATH08010
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
Level
08 - NFQ Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2016 - Full Academic Year 2016-17
End Term
9999 - The End of Time
Author(s)
Cillian OMurchu
Programme Membership
Description

This module will provide students with the skills to solve real business problems using generally accepted practices in the field of staistics and business analytics.

### Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Explore data sets and select appropiate statistical methods for business analysis problems.

2.

Perform calculations for measures of correlation and regression.

3.

Effectively use hypothesis tests for decision making.

4.

Utilise computer software in the solution of statistical problems.

### Teaching and Learning Strategies

The student will engage with the content of the module through lectures, tutorials and computer labs.

The student will develop and apply their learning through practical examples and exercise sheets.

The student will generate practical computer solutions in the computer labs using various software packages.

### Module Assessment Strategies

Written examination at the end of the semester.

Written examination & project during the semester.

Written Exam

### Indicative Syllabus

Data Exploration.

Regression and Correlation.

Hypothesis Testing.

Non-Parametric Testing.

Data Analysis using software packages.

### Coursework & Assessment Breakdown

Coursework & Continuous Assessment
40 %
End of Semester / Year Formal Exam
60 %

### Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Assessment Continuous Assessment Assessment 40 % OnGoing 1,2,3,4

### End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Exam Final Exam Assessment 60 % End of Semester 1,2,3,4

Type Location Description Hours Frequency Avg Workload
Lecture Not Specified Lecture 2 Weekly 2.00
Laboratory Practical Computer Laboratory Lab 1 Weekly 1.00
Tutorial Computer Laboratory Tutorial 1 Weekly 1.00
Total Full Time Average Weekly Learner Contact Time 4.00 Hours

### Required & Recommended Book List

2001-06-22 Doing Statistics for Business with Excel: Data, Inference, and Decision Making Wiley
ISBN 0471408298 ISBN-13 9780471408291

This book teaches students how to do statistics and how to use statistics as a tool for making intelligent, informed decisions. Doing Statistics For Business, Second Edition is data driven, emphasizing statistical reasoning, interpretation, and decision-making with an emphasis is on comparison and interpretation rather than rote calculation. The cases are based on real business situations and data that are relevant to student life.

2008-01-01 Quantitative Methods for Business Decisions Thomson
ISBN 1844805743 ISBN-13 9781844805747

Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum. Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.

2010 Introductory Statistics TBS
ISBN 0470505834 ISBN-13 9780470505830

When it comes to learning statistics, Mann delivers the information that business professionals need. The new edition incorporates the most up-to-date methods and applications to present the latest information in the field. It focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. Over 200 examples are included along with marginal notes and step-by-step solutions. The Decide for Yourself feature also helps business professionals explore real-world problems and solutions.

2006-03-24 Using Statistics Gill & Macmillan Ltd
ISBN 0717140229 ISBN-13 9780717140220

This book uses practical worked examples and problems with answers, in an Irish context. It provides an insight into your processes, allowing you to understand them and ultimately improve them. It can be used alone or in conjunction with any statistical package of choice. Web support is provided for lecturers with PowerPoint slides, web links, and data sets for each chapter, which support all statistical software. This book is suitable for undergraduate students of business, science and engineering, post-graduate students, researchers and professionals. Comments from students: "Very well presented. The author made it seem very simple. The examples use real life, are easy to understand and interesting". "The author understands the worries students have, and knows our limits". "Examples are relevant and easy to relate to".

2014-01-01 Business Analytics: Data Analysis & Decision Making South-Western College Pub
ISBN 1133629601 ISBN-13 9781133629603

Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 5E! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos.

### Module Resources

Non ISBN Literary Resources

Jon Curwin, 2008 Quantitative Methods for Business Decisions Thomson

Prem S. Mann, 2010 Introductory Statistics TBS

James Reilly, 2006 Using Statistics Gill & Macmillan Ltd

S. Christian Albright, 2014 Business Analytics: Data Analysis & Decision Making South-Western College Pub

Marilyn K. Pelosi, 2001 Doing Statistics for Business with Excel: Data, Inference, and Decision MakingWiley

URL Resources

https://www.minitab.com