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Sagot :
False, If we have prior knowledge that the cases in the class are uniform, we can statistical generalize from a single case to the entire class.
What exactly are statistical generalization and the chi-square test?
Statistical generalization is the process of extrapolating results from a sample to a population. To accomplish this, the sample must be drawn at random and representative of the population. Chi-square is a statistical test that looks at the differences between categorical variables from a random sample to see if the expected and actual findings are well-fitting. The generalized chi-squared distribution (or generalized chi-square distribution) in probability theory and statistics is the distribution of a quadratic form of a multinormal variable (normal vector), or a linear combination of multiple normal variables and squares of normal variables. It is also a linear sum of independent noncentral chi-square variables as well as a normal variable.
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