Information Systems And Statistical Analysis

Information Systems and Statistical Analysis • This is by itself one form of management • Can be applied to assist in organisational change and introducing innovation • At the University: – You are being watched/monitored – Educational institutions need information and feedback to see whether their services meet the requirement of various parties. To remain competitive.

• Managers need MIS for effective operation. • MIS is indispensable for planning, decision making and control. • How quickly and accurately managers receive information about what is going right and what is going wrong largely determines how effective the control system will be.

Information and Control • Nature of Information – Quality – Timeliness – Quantity – Relevance

Management Information Systems • Computer-based information system for more effective planning, decision making and control.

Data • Raw, unanalysed numbers and facts

Information

• Data that have been organised or analysed in some meaningful way

MIS • Definition: a formal method of making available to management the accurate and timely information necessary to facilitate the decision making process and enable the organisation’s planning, control, and operational functions to be carried out effectively. • Info about past, present and projected future and about relevant events inside and outside the organisation.

Statistical Information • Central tendency statistics: – Mean – Median – Mode

• Dispersion – – – –

Std deviation Variance Range Minimum & Maximum

• Distribution – Skewness – Kurtosis

Type of data: – – – –

Nominal Ordinal Interval Ratio

It is useless to just present raw data the same way it is obtained by the researcher The need for data reduction

Regrouping into meaningful data/categories

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Measures of Association Can be examined through cross tabulations. The corresponding measure for the type of data is as follows: Both nominal, use lambda, 0 ≤ λ ≤ 1 Both ordinal, use gamma, -1 ≤ γ ≤ 1 Both interval/ratio, use pearson’s productmoment correlation, -1 ≤ r ≤ 1

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Dependent variable

Measures of Association and Levels of Measurement

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