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## 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 Level Undergraduate 1 Second Term 15 credits (7.5 ECTS credits) Aberdeen No Dr Charles Wang

### Qualification Prerequisites

• Either Programme Level 1 or Programme Level 2

None.

### What courses cannot be taken with this course?

• ST1505 Understanding Data (Studied)

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

Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

### Summative Assessments

#### Exam

Assessment Type Weighting Summative 70
##### Learning Outcomes
Knowledge LevelThinking SkillOutcome
FactualAnalyseSummarise data graphically and numerically
ProceduralEvaluateCalculate probabilities in simple cases
ProceduralUnderstandUnderstand elementary probability theory
ProceduralUnderstandUse RStudio to solve statistical problems.
ProceduralUnderstandImplement some hypothesis tests and construct corresponding confidence intervals
ReflectionEvaluateWrite brief reports on analyses of data sets

#### Online Test

Assessment Type Weighting Summative 15
##### 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 Weighting Summative 15
##### 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 Weighting Summative 100
##### 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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