Module Descriptors
STATISTICAL INVESTIGATIONS
MATH40353
Key Facts
Faculty of Computing, Engineering and Sciences
Level 4
15 credits
Contact
Leader: Joy Harding
Email: J.E.Harding@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- ASSIGNMENT weighted at 40%
- REPORT weighted at 60%
Module Details
Module Additional Assessment Details
An assignment based on a quality control scenario (40%) assessing Learning Outcomes 1 & 3.
An individual report involving the collection, presentation of data and communication of results in written form and via a group presentation (60%) assessing Learning Outcomes 1 & 2.
An individual report involving the collection, presentation of data and communication of results in written form and via a group presentation (60%) assessing Learning Outcomes 1 & 2.
Module Texts
D. Whigham (2007) Business Data Analysis using EXCEL, Oxford University Press ISBN: 019929628-6
P.Greasley (2008), Quantitative Data Analysis Using SPSS, McGraw Hill, OUP, ISBN: 0335223052
J Pallant (2010), SPSS Survival Manual, Version 15, McGraw Hill, ISBN: 0335242391
P.Greasley (2008), Quantitative Data Analysis Using SPSS, McGraw Hill, OUP, ISBN: 0335223052
J Pallant (2010), SPSS Survival Manual, Version 15, McGraw Hill, ISBN: 0335242391
Module Resources
Use of spreadsheets (such as EXCEL) and one sophisticated statistics package (e.g. SPSS)
Module Special Admissions Requirements
None.
Module Learning Strategies
36 hours of class contact consisting of 12 lectures and 24 hours of practical.
Students will investigate these datasets in the practical sessions to bring out the main features of the data. Students will work both individually and in groups and will communicate their results both orally and in writing.
Students will investigate these datasets in the practical sessions to bring out the main features of the data. Students will work both individually and in groups and will communicate their results both orally and in writing.
Module Indicative Content
What is statistics? Exploring data sets
Statistical software (such as SPSS, EXCEL, MINITAB)
Types of data, nominal, ordinal, quantitative, discrete, continuous
Graphical representation of data (e.g. bar charts, scatter graphs, boxplots, pointplots, histograms)
Use of statistical methods (e.g. mean, standard deviation, correlation) and analysis for a wide range of statistical data sets
Writing statistical reports
Use of statistics in quality control
Development of transferable skillsin teamworking and communication.
Statistical software (such as SPSS, EXCEL, MINITAB)
Types of data, nominal, ordinal, quantitative, discrete, continuous
Graphical representation of data (e.g. bar charts, scatter graphs, boxplots, pointplots, histograms)
Use of statistical methods (e.g. mean, standard deviation, correlation) and analysis for a wide range of statistical data sets
Writing statistical reports
Use of statistics in quality control
Development of transferable skillsin teamworking and communication.