On the premise of my major, I could use inferential statistics to describe the first mothers’ population. The primary rationale for this selection is because inferential statistics entails making of predictions and inferences for this population by sample data obtained from the populace in question. The objective of the article was to explore the relationship between the consumption of alcohol prior and during pregnancy and preterm birth risks ( Dale, Bakketeig, and Magnus, 2016 ). The intention is to make inferences about the sample of pregnant women to establish the association the relationship. For instance, the information management records in a particular healthcare facility may contain information about the total number of pregnancies, mothers drinking before and during pregnancy, the risk level of preterm delivery, and other information.
With the availability of such pregnancy information in hospital records, as a practitioner in this major, it is possible to read and make predictions using the inferential statistics approach. As such, health information managers can use inferential statistics to monitor the effects of alcoholism on pregnancy and avail the interpreted information to other departments. Since all the pregnant mothers (drinkers and non-drinkers) acquire monitoring as from week one to week 37, it helps the information managers develop services attribute in the information system for use by health administrators and community healthcare providers. As such, though it is the same information, information managers develop and manage it while other mentioned practitioners use if for actual medication such as delivery procedures and pregnancy care.
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Again as shown by Dale, Bakketeig, and Magnus, (2016), literacy level of the sampled women also influences the rate of alcohol consumption. For information managers, having the literacy information of sample women can provide predictions of the relationship between preterm and alcoholism. Inferential statistics will, therefore, prevail in aiding information manager in the healthcare to propose additions to information management of the training for potential and pregnant mothers. Overall, decisions are easily reached using inferential statistics.
Reference
Dale, M.T., Bakketeig, L.S. and Magnus, P., 2016. Alcohol consumption among first-time mothers and the risk of preterm birth: a cohort study. Annals of epidemiology , 26 (4), pp.275-282.
