Milestone Three
Before carrying out any research, setting of hypothesis as a researcher is paramount to the research process. This is because it predicts about the correlation between the variable within the research as it bases its predictions on the expected outcome of the research results. Therefore in this paper there are two types of hypothesis that has been set up, to aid in carrying out the research so as to get the end result.
The null hypothesis (H0): “there is no relationship between age that children start crawling and the temperature after six weeks of birth” (Benson 1993). This prediction is basically dependent entirely on chances and probabilities and hence it requires statistical test so as to be proven whether it is right or wrong. The conclusion of this prediction will either be acceptance, nullification or rejection of the hypothesis. This will therefore involve the use of inferential statistics so as to analyze the distributed data of temperatures. Thus the researcher will infer the properties of the infant population hence being able to test the hypothesis so as to accept it reject or nullify it.
Alternative hypothesis (Ha): “higher degrees of temperature reduce the number of age weeks an infant starts to crawl” (Benson 1993). This hypothesis means that the researcher strongly believes that temperature variation is the main cause of the variation in the age weeks that the infants start to crawl. The hypothesis means that temperature is an element that affects the crawling age of infants, those that are exposed to higher temperature months after their six week crawl faster than those exposed to low temperatures of that month. Hence the results of this hypothesis are observed and a qualitative research is achieved.
References
Benson ,J,B. (1993). Season of birth and onset of locomotion: Theoretical and methodological implications. Infant Behavior and Development, 16, 69-81.
