Research Hypothesis and Statistical Hypothesis

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Research Hypothesis and Statistical Hypothesis Name Institution Research Hypothesis and Statistical Hypothesis The Difference between Research Hypothesis and Statistical Hypothesis In a majority of scenarios, there are two types of the hypothesis under investigation: research hypothesis and statistical hypothesis. The research hypothesis is founded on real archaeological data and the researcher’s interpretation of the interrelationships between those data (Benjamin et al., 2017). For example, the hypothesis that the styles of pottery they use characterize the cultural relationships between two communities. In this case, the primary objective is to determine whether pottery truly can measure cultural resemblances and this becomes the research hypothesis. The notion is proven by identifying analogy to modern potters and using the archaeological records. Once the research hypothesis is comprehensively defined, the next step is to determine the most suitable statistical hypothesis. A statistical hypothesis is statements that seek to identify patterns, trends, and differences in any given data used in descriptive studies, or to examine prognostications in hypothesis-driven research (Benjamin et al., 2017). For example, in an observational study about which sex between male and female chickadees sings more frequently. The statistical null hypothesis is that there is no significant difference in frequency of songs performed between male and female chickadees, while the alternative hypothesis is that there is a substantial difference in the rate of songs performed between male and female chickadees. Statistical hypothesis involves the use of statistical tests that

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