# 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 - NFQ 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 Science in Occupational Safety and Health SG_SOCCU_B07 201900 Level 7 Embedded Award in 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;

1.

Use correct terminology/vocabulary to discuss findings of statistical methods

2.

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

3.

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

4.

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

5.

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
Co-requisites
None
Incompatibles
None

### 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. Continuous 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

Type Location Description Hours Frequency Avg Workload
Laboratory Practical 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

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

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.

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