30 -31 Jan 2019
25 Jan 2019
8 hours / 1 day
9am – 6pm, Wednesday & Thursday
Mode of Training:
This course aims to equip participants with essential understanding of the main statistical concepts in nonparametric statistics. The course helps participants to appreciate and understand a broad spectrum of concepts and techniques used in nonparametric statistical analyses.
Course Learning Outcomes
Participants will learn statistical analysis techniques designed for nonparametric data, apply and interpret such techniques and the associated outcomes. The course will cover rank-based methods to test hypotheses on i) the single sample problem, ii) the two-independent sample problem, iii) the paired sample problem, iv) comparison of more than two treatment procedures and v) randomised complete block designs. The learning will be aided with hands-on sessions, where the participants will apply the skills learnt on datasets, which may not assume parametric structures.
Throughout the course, the participants will use Minitab (Version 18) as the software base to apply the concepts learnt to analyse data.
Course Content & Structure
One Sample problem
• Sign Test
• Wilcoxon’s Signed Rank Test
Paired Sample Problem
• Sign Test
• Wicoxon’s Signed Rank Test
Two Independent Sample Problem
• Mann-Whitney Test
• Siegel-Tukey Test
• Wilcoxon Rank Sum Test
One-Way Comparison of More than Two Treatments (Like a One Way ANOVA)
• Kruskal-Wallis Test
• Mood’s Median Test
Randomized Complete Blocks
• Friedman Test
• McNemar Test
The targeted job roles are:
• Health Science/Clinical Scientists and Researchers
• Business Analyst
Minimum Entry Requirements / Assumed Skills and Knowledge
Learners must be good in elementary mathematics and are working in environments where large amount of data are collected and required to be analysed.
Award / Certification / Accreditation
• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the examination and meet at least 75% attendance rate
Course Fees payable:
|Singapore Citizens aged below 40 and Singapore PRs||Singapore Citizens||Others|
|Non-SME sponsored||1Sponsored by SME||2Aged 40 and above||3Aged 35 and above, and earn ≤ $2,000 per month|
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.
1 Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
2 Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
3 Under the Workfare Training Support (WTS) scheme. For more information on the scheme, click here.
Please click here for more information on funding incentives.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
Please make cheques payable to “Singapore Polytechnic”. Do cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number at the back of the cheque. When you have completed required details, you may mail the cheque here.
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.