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How statistics can be misleading - Mark Liddell

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My goal is to get 7 for my final grade. (Also formatives and summatives)

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It is because same sets of data can be appeared to have the opposite trends depending on the way they are grouped - influenced by lurking variables.

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Selection bias is general conclusion from a specific population.

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The context of a scenario will determine what way to view the data is most appropriate. Data can lead to very different conclusions which may or not support a certain agenda, making a study bias and unreliable. (yea the Simpson's Paradox)

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selection bias do not (failed to) represent the whole population

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Selection bias is an inaccurate conclusion taken from a data, caused by irrelevant sampling sizes or by too specific or small of a geographic area that it cannot accurately represent the preferences and traits of a wider demographic.

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A bias related to the selection of individuals/data sources such that the results are not representative of the intended population.

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Selection bias can lead to invalid conclusion because the data taken from one particular group are not similar or have equal size with the other group taken as a sample.

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Bias Collected Data are data that does not come from a sample set that does not appropriately represent the population. (wait is it this video or the one from managebac..?)

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Handling data which only involves one variable. For example analysis the height of male high students, etc.