Chi-square test
A chi-square test is a valuable tool that aids the investigator in determining the goodness of fit. The test takes into account the size of the sample and the deviations from the expected ratio. It not only can be used for samples of different sizes but can be adapted to ratios with a different number of classes, like two classes for monohybrid crosses and four classes for dihybrid crosses. Essentially, the chi-square test is a mechanism by which deviations from a hypothetical ratio are reduced to a single value based on the size of the sample. This allows the investigator to determine the probability that a given sum of deviations will occur by chance. Expected values are obtained from the total size of the sample. If the hypothesis is that a 1:1 ratio results from a cross, the total is divided into two equal parts. For any other expected ratio, the total is divided into appropriate proportions. Chi-Square Formula Degrees of freedom (df) = n-1 where n is the number of classes Ste...