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General Rules
a.Attractive Shapes The tables should be neat and attractive. The size of table should be neither too big nor small.
b.Simplicity A table should be simple and self explanatory and according to the object of statistical investigation.
c.Place of Approximation If approximation is done for the figures written in that table it should be mentioned.
d.Free from Irrelevant Data A table must from all types of irrelevant data.
e.Use of circle or Box etc Certain figures which are to be emphasized should be in distinctive type or in circle or a box or between thick lines.
f.Miscellaneous Columns A table should have miscellaneous column or remark column for the information which cannot be grouped in the classification mode.
g.Non Availability of the Data If some information is not available due to one other reason a line ( -) or not available ( N. A.) or a cross x should be used along with a classification of these symbols.
Sample Size in Non Propbability The probability selection does not apply to purposive selection. The size of the non probability samples is selected in a subjective ma
a. What do you mean by linear programming problem? Explain the steps involved in linear programming problem formulation? b. A paper mill produces two grades of paper viz., X and Y.
meaning of critical activity ..
Question 1 What do you understand by customs duty? Explain the taxable events for imported, warehoused and exported goods. List down the types of duties in customs. An importer
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
Consider a queueing system with 1 counter, to which groups of customers arrive according to a Poisson proces with intensity l. The size of a group is 1 with probability p and 2 wit
EXPLAIN THE OR TECHNIQUES
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Regression Line The line of regression is the line which give the best estimate to the values of one variable for any specific values of other variable. For t
Q3. Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
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