The predicted count for each category in a statistical analysis is determined by applying theoretical probabilities or assumed distributions to the total observed data. For instance, in a genetics experiment examining Mendelian inheritance, if 300 offspring are observed, the expected ratio might be 3:1 for dominant to recessive traits. Applying this ratio, one would expect 225 offspring to exhibit the dominant trait and 75 to exhibit the recessive trait. These values of 225 and 75 represent the calculated projections based on the hypothesized ratio.
Determining these projections is crucial in various fields, from genetics and market research to quality control and social sciences. By comparing observed data with these projections, one can assess the validity of underlying assumptions, test hypotheses, and identify statistically significant deviations. This comparative analysis can reveal biases, patterns, or relationships that might otherwise go unnoticed, leading to more informed decision-making and a deeper understanding of the phenomena under investigation. Historically, techniques for calculating these projections have been fundamental to the development of statistical inference and hypothesis testing.