It checks bias in subsequent selections of samples
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Advantages 1.It is very simple to use. 2.It also saves time and cost. 3.It checks bias in subsequent selections of samples. 4.Its variances are most often smaller than other alternative sampling technique,when it is suitable to use. 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. 3.It may not be good for periodic data.
Sampling gives good insight of the choosen sample
The only way to get rid of sampling error is to use the entire population under study. This is usually impossible, so the next best thing is to use large samples and good sampling methods.
The related web sites give a good idea of the types of non-random sampling. These include snowball, convenience, quota, self-selection, diversity, expert, and others. Non-randon sampling is usually done because it is less expensive, easier, and quicker than random sampling.
It is not true to say that you should automatically draw a smooth line. It depends on what you are attempting to do. A smooth line may be a good indicator of a trend but such a line is useless if you want to find out whether or not there is any periodicity in the data. For the latter you must join the data points and look for periodic patterns.