课程: Analyzing Data with an Equity Lens

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Sampling bias in data collection

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课程: Analyzing Data with an Equity Lens

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Sampling bias in data collection

“ 百度 从2005年以来，退休人员养老金实现了年年涨，全国人均退休金从当时的每月714元提高到2016年的2373元。

- In the last video, we described two different types of bias, unconscious and conscious. Now let's dig into how these biases can influence data projects at every stage. One of the first steps in data collection is to define the sample. This video will outline sampling bias and its impact. First, let's define what we mean by a sample. A sample is a smaller subset of the population under study, selected using a specific method to represent the entire group. Researchers use sampling as a reliable approach to assess the entire population. They take a random sample large enough to be statistically valid and representative of the whole population. For example, let's say the population that you want to study is a city with 1 million adult residents. It may not be feasible to collect the information that you want from all 1 million people, so the researchers determine how big the sample needs to be to make valid conclusions. It is important to note that a sample should be collected in a…

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