Random sampling can provide firms with a range of benefits, including cost savings, increased accuracy of results, and more efficient use of resources.
* For example, a retail company may want to conduct market research to understand their customers' preferences and buying habits. To achieve this, they could conduct a survey of a representative sample of customers, chosen through random sampling. This method would allow them to gather data from a diverse range of customers, while saving time and money compared to surveying all customers.
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* Random sampling allows **firms to gain a representative understanding of a larger population** without the need to examine every member of the population. This can help firms to make informed decisions and to allocate resources effectively.
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* Random sampling can help firms to **reduce costs associated with collecting data**. By selecting a representative subset of individuals, firms can reduce the amount of time and resources required to collect data.
* For example, a manufacturing firm might use random sampling to test the quality of its products. Rather than testing every product, the firm might randomly select a subset of products to test. This can help the firm to identify quality issues while minimising the cost of testing.
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* In addition to reducing costs, random sampling can also **increase the accuracy of results by reducing the likelihood of bias.** For example, if a firm only surveyed customers who regularly visited their most profitable stores, they would not obtain a representative sample, as they would be missing out on the opinions of customers who frequent other stores.
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