3.2.3 Sampling

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Good morning everyone. Today we are going to talk about sampling, a key part of market research. In business, it is often impossible or too expensive to collect information from every single customer in a market. That is where sampling comes in. Sampling is the process of selecting a smaller, representative group from a larger population so that businesses can gather insights efficiently and make informed decisions.

So why is sampling important? First, it saves time and money. Imagine a food company wants to launch a new snack in Asia. It would be impossible to survey millions of customers across every city. Instead, they can select a few hundred people in key cities. This gives them useful data without spending excessive time or resources.

Second, sampling makes research feasible. Collecting information from an entire population is logistically very challenging, especially if people are spread out geographically. Sampling allows researchers to focus on a manageable group.

Third, using a sample enables detailed analysis. By studying a smaller group, researchers can design more in-depth surveys or interviews. For example, a car company might select 100 recent buyers to interview about their satisfaction with a new model. This gives rich insights that are not possible with a huge, general survey.

Finally, a carefully chosen sample can be used as a basis for generalisation. If the sample truly represents the population, businesses can make predictions about the behaviour of the larger group.

Now, there are several types of sampling methods. These include random sampling, where everyone has an equal chance of being selected; stratified sampling, where the population is divided into groups and samples are taken from each; quota sampling, where specific characteristics guide selection; and convenience sampling, which uses people who are easiest to reach.

Despite its benefits, sampling has limitations. One key issue is sampling bias, which happens when the sample does not represent the whole population. For example, if a luxury brand surveys only low-income areas, it may underestimate demand. Another limitation is the margin of error. Since only a subset is surveyed, the results may not be 100 percent accurate, especially with smaller samples. Sampling can also lead to misinterpretation, because findings may not apply to everyone if groups behave differently. Finally, some people are difficult to reach, such as busy young professionals, which can skew results.

In conclusion, sampling is an essential tool in market research. It allows businesses to gather relevant information efficiently, saving time and cost, and enabling better decision-making. However, the reliability of the results depends on how well the sample is chosen and the method used. A well-planned sample provides accurate, useful insights, helping businesses make decisions based on solid evidence.

 

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