Proper care must be exercised to ensure that the sample drawn is
random and therefore, representative of the population.
A random sample may be selected by:
1)Lottery Method
2)Use of Table Of Random Numbers
Lottery
Method:
- The simplest method of drawing a random sample is the lottery
system. This consist in identifying each and every member or unit
of the population with distinct number which is recorded on a slip
or a card.
- These slips should be as homogeneous as possible in
shape,size,color,etc., to avoid the bias.
- If the population is small, then these slips are put in a bag
and thoroughly shuffled and then as many slips as units needed in
the sample are drawn one by one.
- For example: let us suppose that we want to draw a random
sample of 10 individuals from a population of 100 individuals. We
assign the numbers 1 to 100, one number to each individual of the
population a d prepare 100 identical slips bearing the numbers from
1 to 100.
These slips are then placed in a bag or container and shuffled
thoroughly. Finally, a sample of 10 slips is drawn out one by one.
The individuals bearing the numbers on these selected slips will
constitute the desired sample.
Use
of
Table
of
Random
Numbers:
- The lottery method described above is quite time consuming and
cumbersome to use if the population to be sampled is sufficiently
large.
- Moreover,in this method, it is not humanly possible to makr all
the slips exactly alike and as such some bias is likely to be
introduced.
- Statisticians have avoid this difficulty by considering the
random smapling number series.Most of these series are the results
of actual sampling operations recorded for future use.
The most practical amd inexpensive method of selecting a random
sample consiat in the use of "Random Number Tables " which have
been so constucted that rach of the digits 0,1,2,....9 appers with
approximately the same frequency and independent of each other. If
we have to select a sample from population of size N(<=99),
N<=999 and so on.
The method of drawing a random sample comprises the following
steps:
- identify N units in the population with the numbers 1 to
N.
- Select at random, any page of the randomnumber table and pick
up the numbers in any row or column or diagonal at random.
- The population units corresponding to the numbers selected in
step 2 constitute the random sample.