ST203     
Statistics for Management Sciences

This information is for the 2013/14 session.

Teacher responsible

Dr Sara Geneletti Inchauste COL.7.04 and Prof Christopher Skinner COL.7.13

Availability

This course is compulsory on the BSc in Management Sciences. This course is available on the BSc in Accounting and Finance. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.

Not to be taken with: ST201 Statistical Models and Data Analysis, or ST205 Sample Surveys and Experiments

Pre-requisites

Students must have completed Quantitative Methods (Statistics) (ST107) and Quantitative Methods (Mathematics) (MA107).

Course content

A second course in statistics encompassing a wide range of practical issues from the design of surveys and data collection to building models and making inferences. Computer packages used throughout.

There are two lecture courses. ST203.1: Statistical Models and Data Analysis (Dr S Geneletti). Principles of modelling: data preparation, mathematical and statistical models, linear and non-linear models. Simple linear regression. Multiple regression: assumptions, transformations, diagnostics, model selection. Logistic regression: odds ratios and likelihood. Introduction to time series: smoothing, seasonal adjustment, autocorrelation.

ST203.2: Sample Surveys and Experiments (Professor C Skinner). Observational and experimental data. Data quality. Sampling from finite populations. Simple random sampling. Stratified random sampling. Cluster sampling. Survey design. Analysis of survey data.

Teaching

20 hours of lectures, 9 hours of classes and 2 hours of workshops in the MT. 20 hours of lectures and 16 hours of computer workshops in the LT. 4 hours of lectures in the ST.

Indicative reading

R L Scheaffer, W Mendenhall, R L Ott & K G Gerow (2012), Survey Sampling; 7th Edition, F J Fowler Jr (2009), Survey Research Methods, 4th Edition. S. Albright, WL Winston & CJ Zappe, Managerial Statistics. DH Hildebrand and RL Ott Statistical Thinking for Managers.

Assessment

Exam (80%, duration: 3 hours) in the main exam period.
Coursework (20%) in the MT and LT.

Key facts

Department: Statistics

Total students 2012/13: 48

Average class size 2012/13: 13

Value: One Unit

Guidelines for interpreting course guide information

PDAM skills

  • Self-management
  • Team working
  • Problem solving
  • Communication
  • Application of numeracy skills

Course survey results

(2010/11 - 2012/13 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 76.9%

Question

Average
response

Reading list (Q2.1)

2.6

Materials (Q2.3)

2.1

Course satisfied (Q2.4)

2.3

Lectures (Q2.5)

2.6

Integration (Q2.6)

2.3

Contact (Q2.7)

2.4

Feedback (Q2.8)

2.5

Recommend (Q2.9)

Yes

41.5%

Maybe

48.1%

No

10.4%