Random sampling is a market survey technique, used to research issues in a demographic base. Representative sample groups are used to form a picture of the market issues and preferences. Results are collated from these groups to produce a working statistical base for information. Random samples are designed to find reliable data, so there are controls placed on the results. For improved accuracy, to compensate for the random factor, an error factor, usually 5%, is used to modify the survey results. Additional qualifiers may be age groups, income levels, or other relevant factors.
Examples of Random Sampling: