Sample survey

A sample survey is a method of collecting information by studying a subset (sample) of a larger group (population), instead of collecting data from every individual. In simple terms, rather than asking everyone in a population, you select a smaller, representative group and use their responses to make conclusions about the whole population. In statistics, sample surveys are widely used because they save time, reduce cost, and are often more practical than a full census. Key features of a sample survey: Population: The entire group you are interested in (e.g., all students in a university). Sample: A smaller group selected from the population. Representativeness: The sample should reflect the characteristics of the population. Data collection methods: Questionnaires, interviews, or observations. Example: If you want to know how students in University of Ibadan feel about online learning, instead of asking all students, you might randomly select 200 students and survey them. Their responses are then used to estimate the opinion of the entire student body. Advantages: Faster and cheaper than a census Easier to manage and analyze Can provide accurate results if the sample is well chosen Disadvantages: Risk of bias if the sample is not representative Results are estimates, not exact values In summary, a sample survey is a practical and efficient way of gathering data and making informed decisions about a larger population.