UnitLevel 1Undergraduate

SCI1020 Introduction to statistical reasoning

Faculty of Science

SCI1020 Introduction to statistical reasoning is a level 1, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2023 in Semester 1 and Semester 2 at Clayton and Malaysia. It has no prerequisites and unlocks 28 units, leading on to 132 units in all. Students rate it 5.0 out of 5 from 1 review and call it very easy.

Credit points
6
Offered in 2023
Semester 1, Semester 2
Clayton, Malaysia
Assessment
Exam 100%
and 2 other tasks

This is the 2023 handbook entry. See the 2027 entry.

Reviews

Rated 5.0 out of 5 from 1 review
5.01 review
  1. 5 stars: 1
  2. 4 stars: 0
  3. 3 stars: 0
  4. 2 stars: 0
  5. 1 star: 0
Teaching
5.0out of 5 from 1 review
Content
4.0out of 5 from 1 review
Assessment
5.0out of 5 from 1 review
Usefulness
5.0out of 5 from 1 review
Difficulty
Very easy
Workload
Light

What students say

  • VLOctober 2026 · edited · Took it in 2026
    5 out of 5: Excellent

    This unit was very easy, especially considering I had never studied statistics before. I would think that putting in the required time (which really isn't that much) each week would be enough for most students to understand the material and achieve an HD.

    • Teaching5out of 5
    • Content4out of 5
    • Assessment5out of 5
    • Usefulness5out of 5
    • DifficultyVery easy
    • WorkloadLight

Requisites

Before SCI1020

No prerequisites or corequisites besides the enrolment rules below.

After SCI1020

28 units list SCI1020 as a prerequisite or corequisite.

Show 20 more

Enrolment rules

PROHIBITION: STA1010, ETC1000, ETW1000, ETW1102, ETX1100, FIT1006, MTH1030 and ENG1005.
Note that SCI1020 is an introductory unit and if you have already completed one of these prohibited units you cannot subsequently enrol in SCI1020. If you have completed MTH1030 or ENG1005 should enrol in STA1010 instead.

Overview

Scientific method. Graphical and numerical summary of data. Principles of experimental and sampling design, data acquisition, and the presentation of data. The role of mathematical models in science by investigating the relationship between quantitative variables. Analysis of data using the inferential statistical methods of hypothesis testing and confidence intervals. Communication of scientific information.

Offerings in 2023

Teaching periodCampusMode
First semesterClaytonOn campus
First semesterMalaysiaOn campus
Second semesterClaytonOn campus
Second semesterMalaysiaOn campus
October intake teaching period, Malaysia campusMalaysiaOn campus

Assessment

  • Continuous assessmentOther
    60%
  • Continuous assessmentOther
    40%
  • Examination (2 hours and 10 minutes)ExamThreshold hurdle
    40%
  • Examination (3 hours and 10 minutes)Exam
    60%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Apply key steps of the scientific method to real problems that involve data analysis and interpretation;

  2. 2

    Demonstrate an understanding of the importance of statistical techniques in the analysis of data;

  3. 3

    Describe how statistical data is collected and analysed;

  4. 4

    Use Excel to present and interpret data in numerical summaries and/or graphs;

  5. 5

    Use appropriate statistical summaries to explore data;

  6. 6

    Perform regression and interpret results;

  7. 7

    Determine confidence intervals;

  8. 8

    Conduct hypothesis testing and interpret results;

  9. 9

    Make statistical decisions and communicate findings in a meaningful scientific way.

Workload and teaching

  • Seminars22 hours
  • Lectures36 hours
  • Applied sessions22 hours
  • Teaching approachActive learning
  • Teaching approachOnline learning
  • Three 1-hour lectures or seminars;
  • One 2-hour applied class and
  • Seven hours of independent study per week

Active learning will occur in lectures and applied classes.

Online learning will be used to illustrate and explain concepts and to highlight links between theory and practical work.

Learning resources

Required resources

Online Statistics: An interactive multimedia course of study is an introductory-level statistics book developed by Rice University, Houston USA

Technology resources

MS© Office Excel

Non-programmable scientific calculator

Contacts

Unit Coordinators
Dr Wee Wei Yee
Dr Md Zobaer Hasan
Dr Soojin Roh
Dr Daniel McInnes
Meng Shi
Chief Examiners
Dr Daniel McInnes

Common questions

What are the prerequisites for SCI1020?

SCI1020 has no prerequisites, but enrolment rules apply.

What can I take after SCI1020?

SCI1020 is a prerequisite or corequisite for 28 units, including BFF2701, ECF3800, ETB2111, ETC1010, ETC2410 and ETC2420. Those lead on to 132 units in all.

When is SCI1020 offered?

In 2023, SCI1020 runs in Semester 1 and Semester 2 at Clayton and Malaysia.

Is SCI1020 hard?

Students who took it rate it very easy to do well in and light on workload (1 rating).

Does SCI1020 have an exam?

Yes. The exam is worth 100% of the final mark, alongside 3 other tasks.

What do students think of SCI1020?

It is rated 5.0 out of 5 from 1 review. Read the reviews above or add your own.

More details

Credit points
6
Level
1
Study level
Undergraduate
Faculty
Faculty of Science
Organisational unit
School of Mathematics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available