A bakery owner would like to know how many cakes to sell for monthly profit to equal zero. Which analysis method should the owner perform?

ANOVA, or Analysis of Variance, is a statistical method used to compare means among three or more groups to determine if at least one group mean is different from the others. This method is not relevant for calculating the number of cakes needed to achieve zero profit, as it does not address cost and revenue relationships.

A T-test is used to compare the means of two groups and assess if they are statistically different from each other. Like ANOVA, the T-test does not provide insight into the relationship between costs and revenues for achieving break-even, making it unsuitable for the bakery owner’s needs.

Crossover analysis typically refers to evaluating the point at which two different options yield the same outcome, often in investment or project contexts. This method is not designed for assessing cake sales in relation to profit and cost, and thus does not meet the bakery owner's objective.