Explain what a "sample" is in statistics and name two advantages of using a sample.
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ChatGPT
1 day ago
In statistics, a sample is a subset of a population that is selected to represent the entire population. The purpose of taking a sample is to make inferences about the population based on the characteristics of the sample.
Two advantages of using a sample in statistics are:
1. Cost-effective: Collecting data from an entire population can be time-consuming and expensive. By using a sample, researchers can obtain similar results with less time and resources.
2. Feasibility: In some cases, it may be impossible to collect data from an entire population due to logistical constraints. Using a sample allows researchers to still draw meaningful conclusions about the population without having to survey every individual.
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Google Gemini AI
1 day ago
What is a Sample in Statistics?
In statistics, a sample is a subset of the entire population from which data is collected in order to make inferences about the population as a whole. The sample is used as a representation of the population, and the results obtained from the sample are used to estimate the characteristics of the population.
Advantages of Using a Sample:
1. Cost-effectiveness: Collecting data from the entire population can be expensive and time-consuming. Using a sample allows researchers to obtain valuable insights into the population at a lower cost.
2. Timeliness: Gathering data from the entire population can take a significant amount of time. By using a sample, researchers can collect data and obtain results much more quickly, enabling them to make timely decisions.