Journal of Data Science

Abstract: Female baboons, some with infants, were observed and counts made of interactions in which females interacted with the infants of other females (so-called infant-handling). Independent of these observations, each baboon is assigned a dominance rank of “low,” “medium,”or “high.” Researchers hypothesized that females tend to handle infants of females ranked below them. The data form an array with row-labels being infant labels and columns being female labels. Entry (i, j) counts total infant handlings of infant i by female j. Each count corresponds to one of 9 combinations of female by infant/mother ranks, which induces a 3-by-3 table of total interactions. We use a permutation test to support the research hypothesis, where ranks are permuted at random. We also discuss statistical properties of our method such as choice of test statistic, power, and stability of results to individual observations. We discover that the data support a nuanced view of baboon interaction, where higher-ranked females prefer to handle down the hierarchy, while lower-ranked females must balance the desire to accede to the desires of the high-ranked females while protecting their infants from the potential risks involved in such interactions.