Question: Correlation vs Causation text Arial Everything in Part 1 was an example of the False Cause Fallacy also known as the cum hoc ergo propter

 Correlation vs Causation text Arial Everything in Part 1 was an

Correlation vs Causation

example of the False Cause Fallacy also known as the cum hoc

text Arial Everything in Part 1 was an example of the False Cause Fallacy also known as the cum hoc ergo propter hoc fallacy in latin. This translates to "with this, therefore because of this." In other words, because two variables have been shown to be correlated, one variable must have caused the change in the other variable. As we saw, in reality there can be a third lurking variable that is really causing the change. This is just one of many logical fallacies. Many of which can happen when interpreting statistics. In Part 2, you will be learning about another logical fallacy, the post hoc ergo propter hoc fallacy. You will need to do your own research using google, youtube and anything else that might help you. 1.What is the English translation of post hoc ergo propter hoc? 5. Find a youtube video that is about the post hoc ergo propter hoc fallacy. Put the information about the video below. Title: Link: 6. In your own words, explain what the post hoc ergo propter hoc fallacy is. 7. Give an example of the post hoc ergo propter hoc fallacy and explain why the reasoning is incorrect. It can be an example from the video you watched or it can be from somewhere else. 8. Describe the difference between the cum hoc ergo propter hoc fallacy and the post hoc ergo propter hoc

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