Question

Testing the Goodness of Fit

24 Oct 2025
Answer :
Word Count : 255
Testing the goodness of fit is a statistical technique used to determine how well a theoretical distribution matches observed data. It helps managers assess whether the assumptions made in quantitative models are consistent with real-world observations. The most common method is the chi-square goodness of fit test, which compares the expected frequencies of events under a hypothesized distribution with the actual observed frequencies. The test involves calculating the chi-square statistic by summing the squared differences between observed and expected frequencies, divided by the expected frequencies. A significant chi-square value indicates that the observed data deviate substantially from
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