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ST1506: UNDERSTANDING DATA (2023-2024)

Last modified: 05 Oct 2023 08:46


Course Overview

This is a statistics course open to all first and second year students.  It is a useful course for students whose degree subject involves some amount of statistical analysis. The course teaches students how to summarise data effectively and how to correctly interpret it.  Among the topics covered are sampling strategies, probability theory, confidence intervals and hypothesis tests. There are also weekly computer practicals using the statistics software RStudio. The mathematical context is emphasised but students are not expected to have a high level of maths.





Course Details

Study Type Undergraduate Level 1
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Charles Wang

Qualification Prerequisites

  • Either Programme Level 1 or Programme Level 2

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • ST1505 Understanding Data (Studied)

Are there a limited number of places available?

No

Course Description

Basic data handling, summarisation and visualisation – graphical displays, tabulation, cleaning data, presentation. An introduction to probability distributions Random Sampling. The concepts of confidence intervals and hypothesis testing with simple examples. Relationships – correlation and regression.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Computer Practical during University weeks 28, 31, 33 - 34
  • 3 Lectures during University weeks 26 - 35, 39
  • 1 Tutorial during University weeks 26 - 27, 29 - 30, 32, 35, 39

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Exam

Assessment Type Summative Weighting 70
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
FactualAnalyseSummarise data graphically and numerically
ProceduralEvaluateCalculate probabilities in simple cases
ProceduralUnderstandUse RStudio to solve statistical problems.
ProceduralUnderstandUnderstand elementary probability theory
ProceduralUnderstandImplement some hypothesis tests and construct corresponding confidence intervals
ReflectionEvaluateWrite brief reports on analyses of data sets

Online Test

Assessment Type Summative Weighting 15
Assessment Weeks Feedback Weeks

Look up Week Numbers

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
FactualAnalyseSummarise data graphically and numerically
ProceduralEvaluateCalculate probabilities in simple cases
ProceduralUnderstandUnderstand elementary probability theory
ProceduralUnderstandImplement some hypothesis tests and construct corresponding confidence intervals

Online Test

Assessment Type Summative Weighting 15
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
FactualAnalyseSummarise data graphically and numerically
ProceduralEvaluateCalculate probabilities in simple cases
ProceduralUnderstandUnderstand elementary probability theory
ProceduralUnderstandImplement some hypothesis tests and construct corresponding confidence intervals

Formative Assessment

There are no assessments for this course.

Resit Assessments

Exam

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

Look up Week Numbers

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualAnalyseSummarise data graphically and numerically
ProceduralEvaluateCalculate probabilities in simple cases
ProceduralUnderstandImplement some hypothesis tests and construct corresponding confidence intervals
ReflectionEvaluateWrite brief reports on analyses of data sets
ProceduralUnderstandUnderstand elementary probability theory
ProceduralUnderstandUse RStudio to solve statistical problems.

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