Sampling is an important technique in your statistical toolkit. However, it is not always appropriate. You have to know when to use it and when to work with the entire data set. Which of the following is not a good scenario to use sampling? a) You have been given a terabyte of data about your company's IoT device error logs. b) You want to obtain information on the travel habits of all adult citizens of Chile. c) You have finished collecting data in a small study on the size of the wings of 10 butterflies. d) You are working to predict customer churn in a big data project for your marketing company.

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A: FOR ANY QUERIES PING ME

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A:

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.