Random sampling is one of the best ways to achieve unbiased results from populations of all sizes when conducting a survey. Through this method, researchers are able to get the information they need efficiently and easily. Itís a great way to ensure that results are accurate as it has very limited room for error. These random sampling examples will show how random sampling is used by many researchers and poll takers daily.
If youíve ever been walking in a mall (or any public place) and have been stopped by someone who wants to ask you a few questions, youíve been selected randomly as a subject for a study that is practicing random sampling. All subjects are being chosen randomly and have one thing in common: they are all shopping in or taking use of the same location, so their opinions can be studied as a way to gather information about all people who use or shop in this area.
When political polltakers need to predict the outcome of an upcoming election, they may use random sampling to figure out which politician a population favors most. Asking every member of a population would be very time consuming, so polltakers will use random sampling to randomly select subjects within that population to create a sample group and use the responses those subjects give them to predict who that population of people as a whole will select on voting day.
Many times, different companies will use the internet to survey users on their habits, likes and dislikes, and opinions. These surveys may pop up while you are using a website that needs to gather information about its users, and you can choose whether or not youíd like to participate. This type of surveying uses random sampling. Subjects self-select to answer the questions if they choose to, and information will remain unbiased.
Another survey that uses random sampling and allows subjects to self-select is restaurant surveys. Often, a restaurant will place a card along with every customerís bill that asks them to fill out information about the food, service, and their visit and gathers information about their performance from the customers who choose to respond to the survey. These surveys sometimes encourage customers with coupons or special deals for their next visit upon completion.
When information is needed about a certain location, random sampling is often the best way to gather this information, especially in large populations. Sometimes, sample groups will be split up if the survey is being taken in an area with a very diverse population. This is a good way to find out what needs to be improved about a particular location and what residents like or dislike. Their opinions can be used to generalize the opinion of the larger population.
Random sampling is one of the best ways to achieve what every researcher strives for: accurate and unbiased results. Through these random sampling examples, it is easy to see how often random sampling is taking place in our daily lives. Random sampling can be a great way to learn about many populations in a limited amount of time.