Module Code: |
H8STATS1 |
Long Title
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Statistics I
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Title
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Statistics I
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Module Level: |
LEVEL 8 |
EQF Level: |
6 |
EHEA Level: |
First Cycle |
Module Coordinator: |
Sophie Flanagan |
Module Author: |
ORLA LAHART |
Departments: |
School of Computing
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Specifications of the qualifications and experience required of staff |
Level 9 Qualification in a numerate / scientific discipline and experience of the practical business application of standard statistical techniques.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Demonstrate the use of graphical and numerical techniques in descriptive statistics |
LO2 |
Understand the theory, concepts and methods associated with the analysis of business data, using statistical hypotheses and inferential statistics to assist appropriate judgement and decision-making. |
LO3 |
Understand and apply linear models to calculate correlation and to perform and interpret inference using regression. |
LO4 |
Understand and apply typical software tools for business data analysis |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Module Content & Assessment
Indicative Content |
Week 1
Course Introduction, The Role of Data and Statistics
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Week 2
Interpreting and Describing Datasets
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Week 3
Probability: Sample Spaces, Combinatorial Mathematics, Random Sampling
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Week 4
Hypothesis Testing
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Week 5
Single Sample Testing
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Week 6
Two Sample Testing, Independent Samples
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Week 7
Two Sample Testing, Dependent Samples
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Week 8
Analysis of Variance
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Week 9
Goodness of Fit
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Week 10
Linear Correlation
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Week 11
Simple Linear Regression
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Week 12
Module Revision
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Assessment Breakdown | % |
Coursework | 40.00% |
End of Module Assessment | 60.00% |
AssessmentsFull Time
Coursework |
Assessment Type: |
CA 1 |
% of total: |
40 |
Assessment Date: |
n/a |
Outcome addressed: |
1,2,4 |
Non-Marked: |
No |
Assessment Description: Test on topics covered to date: Interpreting and Describing Datasets, Visualizing Data and Data Presentation, Hypothesis Testing, Single Sample Testing |
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End of Module Assessment |
Assessment Type: |
Terminal Exam |
% of total: |
60 |
Assessment Date: |
End-of-Semester |
Outcome addressed: |
1,2,3,4 |
Non-Marked: |
No |
Assessment Description: Module Terminal Exam covering entire curriculum but with a focus on: Two Sample Testing, Analysis of Variance, Goodness of Fit, Correlation and Simple Linear Regression |
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Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
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Reassessment Description Reassessment of this module will consist of a repeat examination that assesses all learning outcomes. It is possible that there will also be a requirement to be reassessed in a coursework element.
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NCIRL reserves the right to alter the nature and timings of assessment
Module Workload
Module Target Workload Hours 0 Hours |
Workload: Full Time |
Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
Lecture |
No Description |
24 |
Per Semester |
2.00 |
Tutorial |
No Description |
12 |
Per Semester |
1.00 |
Independent Learning |
No Description |
89 |
Per Semester |
7.42 |
Total Weekly Contact Hours |
3.00 |
Module Resources
Recommended Book Resources |
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James T. McClave,Terry Sincich. (2016), Statistics, 13th. Pearson, p.896, [ISBN: 9780134080215].
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Neil J. Salkind, Bruce B. Frey. (2019), Statistics for People Who (Think They) Hate Statistics, 7th. SAGE Publications, Inc.
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John H. Kranzler. (2017), Statistics for the Terrified, Rowman & Littlefield Publishers, p.224, [ISBN: 9781538100288].
| Supplementary Book Resources |
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Andy Field. (2018), BUNDLE: Field: Discovering Statistics using IBM SPSS Statistics 5e + SPSS 24, SAGE Publications, Incorporated, p.775, [ISBN: 9781544328225].
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Dennis Howitt,Duncan Cramer. (2016), Statistics in Psychology Using SPSS, Pearson, p.760, [ISBN: 9781292134215].
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Antony Davies. (2017), Understanding Statistics, Cato Institute, p.152, [ISBN: 9781944424367].
| This module does not have any article/paper resources |
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Other Resources |
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[website], Khan Academy,
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[website], Learn with Dr Eugene O’Loughlin.,
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[website], University of Amsterdam. open source software and videos,
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