Examples of data snooping in the following topics:
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- Testing hypothesis once you've seen the data may result in inaccurate conclusions.
- The error is particularly prevalent in data mining and machine learning.
- Data snooping (also called data fishing or data dredging) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data.
- Data-snooping bias is a form of statistical bias that arises from this misuse of statistics.
- Although data-snooping bias can occur in any field that uses data mining, it is of particular concern in finance and medical research, which both heavily use data mining.
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- We will use a data set called bat10, which includes batting records of 327 Major League Baseball (MLB) players from the 2010 season.
- The primary issue here is that we are inspecting the data before picking the groups that will be compared.
- It is inappropriate to examine all data by eye (informal testing) and only afterwards decide which parts to formally test.
- This is called data snooping or data fishing.
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- Reporting bias involves a skew in the availability of data, such that observations of a certain kind may be more likely to be reported and consequently used in research.
- Descriptive statistics is a powerful form of research because it collects and summarizes vast amounts of data and information in a manageable and organized manner.
- correlate (associate) data or create any type of statistical relationship modeling relationship among variables;
- In other words, every time you try to describe a large set of observations with a single descriptive statistics indicator, you run the risk of distorting the original data or losing important detail.
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- The music video for "Pimp," a song by 50 Cent, Snoop Dogg, and G-Unit, demonstrates how harmful gender messages can be disseminated through mass media.
- The music video for "PIMP," a song by 50 Cent, Snoop Dogg, and G-Unit, demonstrates how gender messages are disseminated through mass media.
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- Alan, while snooping around his grandmother's basement stumbled upon a shiny object protruding from under a stack of boxes .
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- Data consists of nothing but facts, which can be manipulated to make it useful; the analytical process turns the data into information.
- Binary files (readable by a computer but not a human) are sometimes called "data" and are distinguishable from human-readable data, referred to as "text" .
- Once data is in digital format, various procedures can be applied on the data to get useful information.
- Data processing may involve various processes, including:
- Data processing may or may not be distinguishable from data conversion, which involves changing data into another format, and does not involve any data manipulation.
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- Data Analysis is an important step in the Marketing Research process where data is organized, reviewed, verified, and interpreted.
- Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes.
- In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).
- All are varieties of data analysis.
- Summarize the characteristics of data preparation and methodology of data analysis
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