58勛圖

IE0256 Foundation Statistics

Academic year

2026 to 2027 Semester 2

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

5

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 6

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Availability restrictions

Only available to students on IE International Foundation Programmes.

Planned timetable

To be arranged

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Mrs B A Martin-Andrade

Mrs B A Martin-Andrade
This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Mrs Beatriz Martin-Andrade

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module is an introduction to statistical methods for students who may be choosing maths, business or other science subjects, or who have an interest in how data is presented in the media. It uses real-life examples to better understand descriptive statistics, probability theory, hypothesis testing and inferential statistics. There is an introduction to methods of statistical analysis in the lectures and then statistical analyses are applied and explored in the tutorials.

Assessment pattern

1-hour Written Examination = 100%

Re-assessment

1-hour Written Examination = 100%

Learning and teaching methods and delivery

Weekly contact

2 lectures (x 6 weeks) ; 1 tutorial (x 6 weeks). 1.5 hours of scheduled revision week session

Scheduled learning hours

19

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

30

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • show an understanding of how research is conducted and how data is collected and summarised: the importance of random sampling, outliers, interpretation of graphical representations (e.g. bar charts, box plots) (SCQF 6.1)
  • apply statistical literacy skills to data: understanding the different levels of measurement; calculating, and the interpretation of central tendency and variability measures (SCQF 6.1.)
  • apply statistical skills to data analysis, interpretation and communication: standardizing; interpret and report the results of a hypothesis test (e.g. t-test); understanding how errors can arise in statistical testing, and interpret confidence intervals (SCQF 6.2)
  • Select and use standard ICT applications to process, obtain and combine information (SCFQ 6.4)