So, the sampling frame would be the list of all the people whose names appear on the voter list of a constituency. Sampling Frame – It is a list of items or people forming a population from which the sample is taken. So, to carry out opinion polls, polling agencies consider only the people who are above 18 years of age and are eligible to vote in the population. The first stage in the sampling process is to clearly define the target population. Were these results concluded by considering the views of all 900 million voters of the country or a fraction of these voters? Let us see how it was done. You must have seen the public opinion polls every news channel was running at the time: We recently conducted General Elections in India a few months back. Let’s take an interesting case study and apply these steps to perform sampling. So here’s a step-by-step process of how sampling is typically done, in flowchart form!
I firmly believe visualizing a concept is a great way to ingrain it in your mind. Analysis of the sample is less cumbersome and more practical than an analysis of the entire population.Sample selection is a cost-efficient method.Selecting a sample requires less time than selecting every item in a population.Sampling is done to draw conclusions about populations from samples, and it enables us to determine a population’s characteristics by directly observing only a portion (or sample) of the population. I’m sure you have a solid intuition at this point regarding the question. Here’s a potential solution – find random people in random situations where our sample would not be skewed based on heights. This will not be considered a good sample because generally, a basketball player is taller than an average male and it will give us a bad estimate of the average male’s height.
#Pling meaning professional#
Let’s say we go to a basketball court and take the average height of all the professional basketball players as our sample. So what can we do instead? We can take multiple samples and calculate the average height of individuals in the selected samples.īut then we arrive at another question – how can we take a sample? Should we take a random sample? Or do we have to ask the experts? It’s also not possible to reach every male so we can’t really analyze the entire population. As you can imagine, it is nearly impossible to find the average height of all males in Delhi. The population of Delhi is around 3 crore and males would be roughly around 1.5 crores (these are general assumptions for this example so don’t take them at face value!). We want to find the average height of all adult males in Delhi. Let’s understand this at a more intuitive level through an example. The above diagram perfectly illustrates what sampling is. Sampling is a method that allows us to get information about the population based on the statistics from a subset of the population (sample), without having to investigate every individual. Let’s start by formally defining what sampling is. Note: You can also check out our comprehensive collection of articles on statistics for data science here.
#Pling meaning download#
You download a relatively big dataset and are excited to get started with analyzing it and building your machine learning model. Here’s a scenario I’m sure you are familiar with. We will also talk about eight different types of sampling techniques using plenty of examples.Sampling is a popular statistical concept – learn how it works in this article.
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