Course Code: BUS105
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Synopsis

This course provides students with an understanding of statistical concepts and techniques to generate information for decision-making. The course covers descriptive statistics, probability distributions, sampling distribution, interval estimation, hypothesis testing, ANOVA and regression. Emphasis will be placed on acquiring the analytical and interpretative skills needed to understand statistical findings.
Level: 1
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

  • Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentation.
  • Describing Data: Numerical Measures
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Sampling Methods
  • Central Limit Theorem
  • Point Estimate
  • Confidence Intervals for Population Mean
  • Confidence Intervals for Population Proportion
  • Finite-Population Correction Factor
  • Choosing an Appropriate Sample Size
  • One-Sample Test of Hypothesis
  • Two-Sample Test of Hypothesis
  • Comparing Two Population Variances
  • Comparing Multiple Population Means
  • Correlation Analysis
  • Simple Linear Regression Analysis
  • Multiple Regression Analysis

Learning Outcome

  • Describe statistical data.
  • Define probability, mean and standard deviations for a probability distribution.
  • Explain the probabilities for sample mean and proportion.
  • Identify Confidence Interval for the mean and proportion of a population.
  • Execute the Hypothesis Testing (both one-sample and two-samples) for the population mean and proportion population.
  • Apply an Analysis of Variance (ANOVA) procedure to compare the means of independent random samples.
  • Implement and fit a Linear Regression Line to a set of sample data and interpret the results.
  • Interpret the results from Multiple Regression Analyses.
  • Use a suitable computer software to perform data analyses according to the statistical concepts and techniques learnt from this course including data summary and presentation, probability computation, confidence intervals, hypothesis tests and linear and multiple regression analyses.
  • Report and explain the outcome of a particular statistical analysis performed for decision-making.
  • Summarise statistical analyses and findings through oral presentations in class or on recorded video.
  • Demonstrate the essential knowledge and interpersonal skills to work effectively in a team.
  • Show well-developed written proficiency in statistical report.
Full-time Programmes Part-time Programmes / CET Courses

Who Should Attend

This course is for executive roles requiring business knowledge. It is also suitable for professionals who are interested to learn and apply basic statistics.


Relevance of Course to employment/upskilling/reskilling

This course equips learners with understanding and knowledge on statistics. Learners will acquire the analytical and interpretative skills needed to understand statistical findings, especially in business contexts.


Schedule

SeminarTimeAgenda
Seminar 1
19:00 – 19:15
Introduction and course expectations
19:15 – 20:30Topic 1-2
20:30 - 20:40Break
20:40 – 21:50Topic 3
21:50 – 22:00Summary of Seminar 1
Seminar 2
19:00 – 19:15
Recap of Seminar 1
19:15 – 20:30Topic 4
20:30 - 20:40Break
20:40 – 21:50Topic 5-6
21:50 – 22:00Summary of Seminar 2
Seminar 3
19:00 – 19:15
Recap of Seminar 2
19:15 – 20:30Topic 7-9
20:30 - 20:40Break
20:40 – 21:50Topic 12
21:50 – 22:00Summary of Seminar 3
Seminar 4
19:00 – 19:15
Recap of Seminar 3
19:15 – 20:30Topic 13
20:30 - 20:40Break
20:40 – 21:50Topic 14-15
21:50 – 22:00Summary of Seminar 4
Seminar 5
19:00 – 19:15
Recap of Seminar 4
19:15 – 20:30Topic 16-17
20:30 - 20:40Break
20:40 – 21:50Topic 18
21:50 – 22:00Summary of Seminar 5
Seminar 6
19:00 – 19:15
Exam briefing
19:15 – 20:30Recap of Seminar 1 to 2
20:30 - 20:40Break
20:40 – 21:50Recap of Seminar 3 to 5
21:50 – 22:00Summary of Seminar 6
Note:
Topics 10-11 are self-study topics.
SUSS reserves the right to change the course dates, topics, schedule, and trainers.

 

Assessments

Assignments, Online Test, Others, Written Exam


Requirements

  • Applicants should hold a diploma or an equivalent qualification from a recognised institution.

About the Trainers

Dr Cheng Ningning is a Lecturer at the Singapore University of Social Sciences, where she teaches business statistics and quantitative methods. She holds a PhD in Decision Sciences and Managerial Economics from The Chinese University of Hong Kong and has extensive experience delivering statistics courses that support data-driven decision-making in business contexts. Her research projects apply empirical analysis to online platform operations and healthcare policy, and her teaching focuses on helping learners develop an intuitive understanding of statistical concepts and apply them to real-world managerial problems.


Course Fees, payment and refund policy

 International ParticipantsSingapore Citizen Below 40 years old/ Permanent ResidentSkillsFuture Mid-Career Enhanced Subsidy1 (Singaporeans aged 40 and above)Enhanced Training Support for SMEs2 (Singaporeans and PRs)
Full Course Fee (A)$1,753 $1,461 $1,461 $1,461
SSG Grant Rate (B)0%70%70%70%
SSG grant (C)-$1,022.70 $1,022.70 $1,022.70
Nett course fee (A)-(C) = (D)$1,753.00 $438.30 $438.30 $438.30
9% GST on net course fee (E)$157.77 $39.45 $39.45 $39.45
SSG Enhanced Funding Rate (F)0%0%20%20%
SSG Enhanced Grant (G)- -$292.20 $292.20
Total nett course fee payable, including GST (D) + (E) - (G) = (H)$1,910.77 $477.75 $185.55 $185.55

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singapore citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

For the various payment mode, please refer here.
For the refund policy, please refer here. 

A written request for a refund must be submitted and is subject to approval. If written notice of withdrawal is given within the cooling off period1 and before the course start date, a full refund of the fees paid less an administrative charge of $110.00 (exclusive of GST) will be given. No refund will be given for withdrawal thereafter.

1The cooling off period is defined as 7 working days after payment of course fee.


Completion Requirement

  • Attendance: Participants must achieve at least 75% attendance.
  • Assessment: Participants must sit and pass all prescribed assessments and submit all course work stipulated in the section Assessments.
  • Evaluation: Participants are required to complete course evaluations conducted by SUSS and SSG at the end of the training.
Students who achieve at least 75% attendance and meet the course completion requirements will be awarded a Certificate of Completion. For those who do not meet the course requirements, a Certificate of Participation will be issued instead.


For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263
Email: [email protected]