# MATH07030 2016 Data Analysis / Quantative Techniques

### General Details

Full Title
Data Analysis / Quantative Techniques
Transcript Title
Data Analysis
Code
MATH07030
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
Level
07 - NFQ Level 7
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
SG_BFINA_H08 201600 Bachelor of Business (Honours) in Finance and Investment SG_BEMBE_G07 201600 Bachelor of Business Embedded Award BB L7 in Finance and Investment
Description

The module is intended to help students to understand and master the necessary skills to interpret numerical and graphical information and describe data appropriately. It will introduce basic concepts and methods of Quantitative Methods and will enable students to solve problems and make decisions using various statistical tools.

### Learning Outcomes

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

1.

Carry out a sample survey and be aware of a number of different sampling strategies.

2.

Construct confidence intervals for the population mean.

3.

Perform calculations for measures of correlation and regression.

4.

Carry out time series analysis.

5.

Effectively use hypothesis tests for decision making.

6.

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.

### Repeat Assessments

Written examination.

### Indicative Syllabus

1. Sampling Methods and the Central Limit Theorem.

2. Estimation and Confidence Intervals.

3. Hypothesis Testing.

4. Regression & Correlation.

5. Time Series.

6. Data Analysis using software packages.

### Coursework & Assessment Breakdown

Coursework & Continuous Assessment
30 %
End of Semester / Year Formal Exam
70 %

### Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Continuous Assessment Continuous Assessment Assessment 30 % OnGoing 1,2,3,4,5,6

### End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Final Exam Assessment 70 % End of Term 1,2,3,4,5

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

### Required & Recommended Book List

2010-02-01 Basic Statistics for Business & Economics McGraw-Hill Higher Education
ISBN 0071220992 ISBN-13 9780071220996

Welcome to First Canadian Edition of Basic Statistics for Business and Economics! As the name implies, the objective of this textbook is to provide Canadian business students majoring in economics, finance, marketing, accounting, management, and other fields of business administration, with an introductory survey of the many business applications of descriptive and inferential statistics.

Basic Statistics for Business and Economics introduces students to essential business applications, while maintaining a student oriented environment learning environment. Examples and problems are designed to teach the basics while remaing relevant to the real world.

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.

1994-04-10 Statistics Financial Times Management
ISBN 0273603205 ISBN-13 9780273603207

The fourth edition of this widely-used text has been fully updated to include the latest official statistics and a new chapter on simulation. Presented in a larger format, with 2-colour text, the book maintains the successful formula of previous editions and continues to cater mainly for students taking the first year examinations of major professional bodies. It provides them with a comprehensive introduction to statistics in business and relates the illustrations and examples to the student's own experience. Before any concept is introduced, the need for it is fully discussed and great emphasis is laid on its interpretation. In addition to numerous fully-worked examples the text contains more than 350 exercises from appropriate examinations boards and is accompanied by a students' workbook, software disk and Instructor's Manual. The software disk is available free to lecturers adopting the title and includes the new versions of Lotus 1-2-3 and Aseasyas.

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.