A scenario in which a chi-square goodness-of-fit test would be an appropriate procedure is: A campaign manager would like to show that the distribution of individuals within several social economic categories is different than what a newspaper reported. The campaign manager has a random sample of potential voters in a large city and records the number of individuals within each of the categories.
A goodness-of-fit test can be defined as a statistical test that is used to test if sample data fits into a set of observations or distribution from a given population.
This ultimately implies that, a goodness-of-fit test helps to determine whether on not sample data represents the data that are expected in an actual population.
In Statistics, there are four (4) main types of goodness-of-fit test and these include:
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