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Prescription: ST500 (ST100)Statistical Analysis

Aim of Module To enable students to gain an understanding of basic statistical principles and practice as needed by a non-statistician in a business environment.

Credits 7

Student Learning hours 70

Content Revised pre 1996

Prescription Expiry Date Nov 2005


Level and Assessment Schedule
TopicsHighest
Skill Level
Suggested
Assessment
Percentage
1 Single Variables A 20
2 Relationships in Two or more variables A 20
3 Series Variables A 20
4 Sampling and Data Quality C 20
5 Current Developments in Data Analysis A 15
6 Overview of Software and Its Role C 5

100


The Student Will

1Single Variables
C1.1Classify variables as qualitative, coded, counted, measured.
A1.2Use pencil-and-paper and software to produce one-variable graphics such as:
- dotplot
- histogram
- box plot
C1.3Describe the features of a distribution as revealed by these plots: number of subgroups, behaviour at extremes, skewness.
A1.4Use software to find the summary statistics, and interpret these.
top
2Relationships in Two or more variables
A2.1Use software to produce the two- and more- variable graphics such as:
- scatterplot
- letterplot
- multiple box plot
- scatterplot matrix
C2.2Describe the features of a relationship as revealed by these plots: number of subgroups, outliers, functional relationships, patterns in the spread.
A2.3Use regression software to fit functions to data, find and plot residuals, and calculate r squared and r.
C2.4Assess the appropriateness of these fits, and interpret the statistics.
A2.5Use software to make two-way frequency tables.
top
3Series Variables
A3.1Use software to produce series plots.
C3.2Describe the features of the series revealed in the plots: trends, cycles, seasonal effects, residuals.

NOTES TO TUTORS
> PC-INFOS dataset and software from the Department of Statistics would be useful here.
A3.3Use software to do series transformations such as smoothing and deflating.
R3.4Explain what forecasting aims to do, how it is used in budgeting, and some of its pitfalls.
top
4Sampling and Data Quality
R4.1List the sources of data (experiment, survey (census or sample), or administrative records).
R4.2Explain the ways in which errors can arise in statistical data, and the methods of maintaining data quality.
C4.3Explain the advantages and disadvantages of random sampling.
C4.4Explain how estimates from random samples have a sampling error which is measured by their standard error, and apply this to market research surveys.
R4.5Describe the techniques used for sampling business transactions such as:
- invoices
- credit notes
- cheques paid
- cash received
- journal entries
C4.6Explain the difference between the results of studies involving:
- random samples
- population or non-random samples.
top
5Current Developments in Data Analysis
A5.1Use the "business graphics" feature of some common packages, and assess their usefulness as tools for graphical statistical data exploration.
A5.2State some principles for Quality in Data Graphics, and apply these to data graphics from packages and from newspapers, magazines and television.
C5.3Outline current developments in computer tools for statistics, such as interactive data graphics and statistical expert systems.
C5.4Outline the computer-based methods used by the Department of Statistics for publishing official statistics (INFOS & press releases, PC-INFOS on floppy disks, fax, etc.).
top
6Overview of Software and Its Role
CDiscuss the range of statistical software available and its role in modern business.
top
Note
> The use of simple graphics software is STRONGLY recommended. Students should then report on what the data says. Students should NOT spend time calculating or diagramming by hand.
SUGGESTED TEXT
> A book of tutor notes is available from Wellington Polytechnic on paper, DG tape or MS-DOS floppy disk. 30 exercises with Minitab are also available.
OTHER RESOURCES:
> Data - "The Data Bundle" from NZ Statistics Association, Box 1731, Wellington
Software - Data General: Minitab
- MS-DOS: Minitab (*)
Dept. of Statistics PC-INFOS (*)
Professional packages such as Statgraphics, Systat etc.
- Apple Mac: Data Desk Professional
(*)recommended as being the most useful at present.



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