GCU Public Health Statistics Discussion

Statistics are really important in public health. Statistics is a collection of numbers and summed up in some way. The statistical method called descriptive statistics is mainly for a set of cases. (Corty, 2016). There are four measurement levels: nominal, ordinal, interval, and ratio. The purpose is to determine if there is sufficient evidence to “reject” the conjecture or assumptions about the research. The null hypothesis is based on an assumption, and there is no supporting evidence. First, summarize the data, determine the position, and calculate the scattering scale. Then the hypothesis of the experiment is tested. The statistical test is the following assumptions. The first is the normal distribution of the data. Second, the difference between the categories that are evaluated for similarities. The third is seeing information not dependent on each other.