UnitLevel 2Undergraduate

STA2216 Data analysis for science

Faculty of Science

STA2216 Data analysis for science is a level 2, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2023 in Semester 2 at Malaysia. It has no prerequisites.

Credit points
6
Offered in 2023
Semester 2
Malaysia
Assessment
Exam 50%
and 3 other tasks

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

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Requisites

Before STA2216

No prerequisites or corequisites besides the enrolment rules below.

After STA2216

No unit lists STA2216 as a prerequisite in the 2023 handbook.

Enrolment rules

PREREQUISITE: STA1010 or SCI1020

PROHIBITION: MTH2232

Overview

This unit is designed to develop an understanding of some of the most widely used methods of statistical data analysis, from the viewpoint of the user, with an emphasis on planned experiments. You will become familiar with at least one standard statistical package. Topics covered include: parametric and nonparametric procedures to compare two independent and matched samples; review of simple linear regression; multiple linear regression - analysis of residuals, choice of explanatory variables; model selection and validation; nonlinear relationships; introduction to logistic regression; basic principles of experimental design; one-way and two-way analysis of variance models; planned and multiple comparison techniques; power and sample size considerations in design; usage of some available statistical packages including Minitab and/or SPSS, data preparation, interpretation of output.

Offerings in 2023

Teaching periodCampusMode
Second semesterMalaysiaOn campus

Assessment

  • Mini project reportReport
    10%
  • Assignments (2)Assignment
    30%
  • Workshop assessmentsOther
    10%
  • Examination (2 hours and 10 minutes)Exam
    50%

Learning outcomes

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

  1. 1

    Recognise the requirements for design of an effective experiment and the nature of data arising from these situations;

  2. 2

    Demonstrate an understanding of some of the important parametric and non-parametric methods of statistical data analysis, including analysis of variance, multiple linear regression and logistic regression;

  3. 3

    Identify and apply an appropriate statistical technique for analysing a given design/ data set;

  4. 4

    Formulate a model relating a response variable to a number of given independent variables;

  5. 5

    Use a statistical package for applying statistical techniques covered in the unit.

Workload and teaching

  • Workshops10 hours
  • Lectures36 hours
  • Teaching approachActive learning
  • Teaching approachOnline learning
  • Three 1-hour lectures;
  • One 1-hour workshop (tutorial) and
  • Eight hours of independent study per week

Where it fits

STA2216 is part of 2 areas of study in the 2023 handbook.

Contacts

Unit Coordinators
Dr Md Zobaer Hasan
Chief Examiners
Dr Md Zobaer Hasan

Common questions

What are the prerequisites for STA2216?

STA2216 has no prerequisites, but enrolment rules apply.

When is STA2216 offered?

In 2023, STA2216 runs in Semester 2 at Malaysia.

Does STA2216 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.

Which majors and minors include STA2216?

STA2216 is part of Tropical environmental biology.

More details

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