8 hours / 1 day
9:00am to 6:00pm, Wednesday & Thursday
Mode of Training:
Facilitated Learning (F2F)
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
Eligible for SkillsFuture CreditTerms and Conditions*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.
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:
c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number.
*With effect from 1 August 2021, cheque payment will not be available.
2. All successful applicants will be notified with a letter of confirmation via email.