COURSE OVERVIEW LE030
Practical Statistical Analysis of Lab Data

Course Title
Practical Statistical Analysis of Lab Data

Course Date/ Venue
April 05-09, 2009 / Diwan Meeting Room, Samaya Hotel, Dubai, UAE

Course Reference
LE030

Course Duration/Credits
Five days/3.0 CEUs

Course Description
The purpose of any analytical measurement is to get consistent, reliable and accurate data. There is no doubt that incorrect measurement results can lead to tremendous costs. In addition, reporting incorrect analytical results at any particular time leads to loss of a laboratory’s confidence in the validity of future results. Therefore, any laboratory should do its outmost to ensure measuring and reporting reliable and accurate data within a known level of confidence.

Statistics is an integral part of quality assessment of analytical results. The concept of a frequency distribution, which embodies the behaviour of chance/random fluctuations, is essential for the description of many pertinent aspects of measurement. Statistical Inference based on the theory of probability and random variables, allows reliable conclusions to be drawn from data which are subject to error and variability. A quantitative measurement is always an estimate of the real value of the measure and involves some level of uncertainty. The limits of uncertainty must be known within a stated probability; otherwise no use can be made of the measurement. Analysis must be done in such a way that can provide this statistical predictability.

This course is designed for those faced with analyzing data from laboratories in support of R&D programs, pilot plant studies, plant operations, hospitals, medical centres, municipalities, food manufacturers, environmental protection departments and independent laboratories. Its purpose is to provide information concerning contemporary statistical methodology for individuals in the chemical process and allied industries as well as those in the health care and food fields. Emphasis is placed on the practicality and applicability of the techniques presented.

You will have the opportunity to apply the principles learned to actual problems through the use of illustrative case studies under the guidance of the instructor. The importance of graphical presentation of statistical results is emphasized. More complex statistical analyses and the statistical design of experiments are also presented. Through a combination of lectures and problem-solving sessions, you will learn new statistical techniques that you can put to immediate use in the workplace.

Course Objectives
Upon the successful completion of the course, participants will be able to:-

• Know the importance of statistics for the analysis of lab data

• Gain in-depth understanding on the principles of measurement, accuracy and precision as applied on statistical analysis of lab data

• Identify the sources of bias and variability and be able to explain the concept of random samples

• Understand the importance of data and be able to illustrate graphical display of data examples to better understand the theories presented in the course

• Explain the numerical summary of data & the concept of measures of central tendency and be able to recognize their use in statistical analysis of lab data

• Learn the various measures of variability and become acquainted with distributions and their shapes

• Understand the principles of transformations, outliers and statistical inference and be able to appreciate their relationship with statistical analysis of lab data

• Know the general philosophy of confidence intervals and be able to review confidence intervals for means & standard deviations as well as confidence intervals for rates & percentages

• Practice the use of hypothesis testing and be able to identify the various types of sample tests

• Become familiar with ANOVA including its types & features and be able to present samples of multiple comparisons testing & randomized blocks

• Introduce experimental design and become aware of the concept of statistical process control

• Understand the principles of Correlation & Regression and recognize their importance in statistical analysis of lab data

Training Methodology
This interactive training course includes the following training methodologies as a percentage of total tuition hours:-

50% Lectures
30% Workshops, Group Work & Practical Exercises
20% Videos & Software
 

Who Should Attend
Technicians, scientists, engineers, laboratory managers, Laboratory Personnel, Chemists, Lab Superintendents/Supervisors, Lab Technicians, R&D managers, manufacturing and production managers, and others who need to understand traditional and modern methods of data analysis.

This course assumes no previous knowledge of statistics and is aimed at both beginning and experienced personnel. Each participant should bring a hand-held calculator to the course. There will be computers and software for participants to use for the practical exercises.

Through a combination of lectures and problem-solving sessions, you will learn new statistical techniques that you can put to immediate use in the workplace.

Course Certificate
Haward Technology certificate will be issued to all attendees completing minimum of 75% of the total tuition hours of the course.

Course Accreditation
Haward Technology’s courses/workshops/seminars meet the professional certification and continuing education requirements for participants seeking Continuing Education Units (CEUs) in accordance with the rules & regulations of the International Association for Continuing Education & Training (IACET). IACET is an international authority that evaluates programs according to strict, research-based criteria and guidelines. The CEU is an internationally accepted uniform unit of measurement in qualified courses of continuing education.

Haward Technology has been approved as an Authorized Provider by the International Association for Continuing Education and Training (IACET), 1760 Old Meadow Road, Suite 500, McLean, VA 22102, USA. In obtaining this approval, Haward Technology has demonstrated that it complies with the ANSI/IACET 1-2007 Standard which are widely recognized as standards of good practice internationally. As a result of our Authorized Provider membership status, Haward Technology is authorized to offer IACET CEUs for its programs that qualify under the ANSI/IACET 1-2007 Standard.

Haward Technology Middle East will award 3.0 CEUs (Continuing Education Units) for participants who completed the total tuition hours of this program. One CEU is equivalent to ten Professional Development Hours (PDHs) or ten contact hours of the participation in and completion of Haward Technology programs. A permanent record of a participant’s involvement and awarding of CEU will be maintained by Haward Technology. Haward Technology will provide a copy of the participant’s CEU Transcript of Records upon request.

Course Fee
US$ 3,750 per Delegate. This rate includes Participant’s Pack (Folder, Manual, Hand-outs, etc.), buffet lunch, coffee/tea on arrival, morning & afternoon of each day.

Accommodation
Accommodation is not included in the course fees. However, any accommodation required can be arranged by Haward Technology at the time of booking.

Course Instructor
Professor Paul Fatti (UK) PhD, MSc, BSc... More

Course Coordinator
Ann Sasuman, Tel: +971-2-44 88 301, Fax: +971-2-44 88 302, Email: ann4@haward.org