SAFE06026 2019 Data and Statistics in Health

General Details

Full Title

Data and Statistics in Health

Transcript Title

Data and Statistics in Health

Code

SAFE06026

Attendance

75 %

Subject Area

SAFE - Safety Studies

Department

ESCI - Environmental Science

Level

06 - Level 6

Credit

05 - 05 Credits

Duration

Semester

Fee

€

Start Term

2019 - Full Academic Year 2019-20

End Term

9999 - The End of Time

Author(s)

Akinlolu Akande

Programme Membership

SG_SOCCU_B07 201900 Bachelor of Science in Science in Occupational Safety and Health SG_SOCCU_H08 201900 Bachelor of Science (Honours) in Occupational Safety and Health SG_SOCCU_B07 201900 Bachelor of Science in Occupational Safety and Health

Description

This Module introduces students to descriptive statistics, probability and some probability distributions (Normal and Binomial). These topics will be introduced in the context of health and safety. An appropriate computing software package (E.g. EXCEL, SPSS, MINITAB, JMP, StatCrunch and R are popular statistical packages) will be introduced to perform statistical analysis.

Learning Outcomes

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

Use correct terminology/vocabulary to discuss findings of statistical methods

Apply descriptive (numerical and graphical) statistics to present simple summaries of data

Collate data and use an appropriate computing software to perform descriptive statistics on data set in a coherent scientific manner

Apply probability and some probability distributions (Normal and Binomial) to data analysis

Communicate statistical data individually and in teams in an appropriate format

Teaching and Learning Strategies

The teaching methods used will be a combination of lectures, self-study, labs, tutorials, problem-solving exercises and computer-based learning supported by online VLE based (Moodle) notes, videos & quizzes.

Module Assessment Strategies

This module will be assessed by means of

1. short CA tests (MCQ), approximately every three weeks and a written CA assessment at the end of the module

2. computer laboratory-based assessment with an appropriate statistical software package

3. assignments which will be completed during the students independent learning

4. final examination

Repeat Assessments

Where the module mark is below 40% and attendance is below the 75% requirement, the student must repeat attend the module.

Where the deficit is only in the module mark, the student will be asked to repeat exams or resubmit practical assignments for re-evaluation.

Module Dependencies

Prerequisites

Mathematics Information Technology

Indicative Syllabus

Statistics in Occupational Safety and Health

Operational definitions of statistical terms

Data Collection

Descriptive statistics: Organising and Visualising Data

Descriptive statistics: Numerical Descriptive measures

Standard (or Z) score

Basic probability

Discrete probability distributions (Binomial Distribution)

Continuous probability distributions (Normal Distribution)

Using electronic software for (descriptive) statistical analysis

Coursework & Assessment Breakdown

Coursework & Continuous Assessment

50 %

End of Semester / Year Formal Exam

50 %

Coursework Assessment

	Title	Type	Form	Percent	Week	Learning Outcomes Assessed
1	In class tests and practical use of statistical software.	Coursework Assessment	Practical Evaluation	50 %	OnGoing	1,2,3,4,5

End of Semester / Year Assessment

	Title	Type	Form	Percent	Week	Learning Outcomes Assessed
1	Final Exam Statistics examination	Final Exam	Closed Book Exam	50 %	End of Term	1,2,4

Full Time Mode Workload

Type	Location	Description	Hours	Frequency	Avg Workload
Practical / Laboratory	Computer Laboratory	Statistics on a computer.	2	Weekly	2.00
Independent Learning	UNKNOWN	Self Study	5	Weekly	5.00

Total Full Time Average Weekly Learner Contact Time 2.00 Hours

Required & Recommended Book List

Required Reading
2016-12-22 Statistics for Managers Using Microsoft Excel, Global Edition
ISBN 1292156341 ISBN-13 9781292156347

For undergraduate business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab from Pearson is the world's leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed.

Required Reading
2017-01-04 Statistics
ISBN 1292164778 ISBN-13 9781292164779

For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it's important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

Required Reading
2016-12-15 Applied Statistics in Occupational Safety and Health
ISBN 1598888889 ISBN-13 9781598888881

Applied Statistics in Occupational Safety and Health, Third Edition, provides occupational safety and health professionals with an introductory guide to basic statistics and data analysis. This book is written in an easy-to-understand format with step-by-step procedures to analyze data using a variety of statistical techniques. This third edition includes new examples and numerous updates. Topics in this book include statistical procedures, descriptive statistical methods, correlations, regression, and non-parametric statistical tests. Each chapter presents sample problems and solutions.

Module Resources

Non ISBN Literary Resources

Janicak, A., (2016). Applied Statistics in Occupational Safety and Health

Journal Resources

None

URL Resources

http://stattrek.com/tutorials/ap-statistics-tutorial.aspx

http://davidmlane.com/hyperstat/

Other Resources

Excel or SPSS

Additional Information

None