4. The sampling starts by selecting an element from the
list at random and then every (k) th
element in the frame is selected.
where (k), the sampling interval. n, is the sample size. N
is the population size.
this is calculated as:
k is obtain by dividing the population size (N) with the
sample size (n)
5. In our example, we want to use 9 for k.
Can you see why ?
EXAMPLE :
Issue : What DUB 5 student prefer to choose for iftar? Either cooking
or buy at bazaar.
Statement : DUB 5 have 135 student, we need
15 student to answer our question. So, we
choose randomly by using systematic
sampling for this issue.
8. Advantages
1. It is very simple to use.
2. It also saves time and cost.
3. It checks bias in subsequent selections of
samples.
Disadvantages
1. There is the possibility of losing vital
information from the population.
2. It may not be possible to select the required
sample size if the population is too small.
9. REFERENCES:
1) BOOK: STATISTICS FOR UITM second edition
LauToo Kya, PhangYook Ngor, Zainudin Awang
2) INTERNET:
http://spmp.pkb.edu.my/uspmp2/senikutkelas.jsp