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Conclusions and Recommendations
Conclusions should be drawn with direct reference to the objectives of the study. The readers should be able to read the objectives. Turn to the conclusions section and find specific conclusions relative to each objectives. If as sometimes happens the study does not obtain satisfactory data from which t draw a conclusion relative to an objective this should be acknowledged rather than disguised.
While it is almost always necessary for the researchers to draw conclusions, it is not always possible or advisable for them to make recommendations. On occasions the researcher may be specifically ask not to make recommendations. In other situations where the researcher have worked o one problem but have limited knowledge of the company background and general operating policies. They would be unwise to recommends definite courses of action even if asked to do so. Making recommendation assumes considerable knowledge of the total picture including the resources of the firm and all the alternative course of action. Often research workers do not have this knowledge.
Case Study - Experimental Design Dental Clinic A leading dental clinic with three well qualified dentists is seriously considering keeping in touch with its pat
Operation Research may be regarded as a tool which is utilized to increase the effectiveness of the management decisions. O R is objective supplement to the subjective feeling
Panel Sampling Here the initial samples are down on random basis and information from these is collected on regular basis. Itis semi permanent sample where members may
In a rectangular game, pay-off matrix of player A is as follows: i) Solve the game. ii) Write down the pay-off matrix of B and then, solve the game.
Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
What is the optimum solution
Step 1: Research Towers of Hanoi problem The Towers of Hanoi is a problem frequently used to teach recursive programming techniques. Step 2: Run the assembly code from Hanoim
Determining Sample Size for estimatingMeans a. Acceptable Errors: There may be several errors in the sample size. The researcher will have to decide those errors. Whic
give me an example of pre-modelling, modelling and post modelling phases
applications
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