Doing hypothesis testing
Hypothesis testing is a way of determining probability that a given hypothesis is true. Let's say a sample data suggests that females tend to vote more for the Democratic Party. This may or may not be true for the larger population. What if this pattern is there in the sample data just by chance?
Another way to look at the goal of hypothesis testing is to answer this question: If a sample has a pattern in it, what are the chances of the pattern being there just by chance?
How do we do it? There is a saying that the best way to prove something is to try to disprove it.
The hypothesis to disprove is called null hypothesis. Hypothesis testing works with categorical data. Let's look at the example of a gallop poll of party affiliations. ...
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