Hypothesis testing, a complex statistical technique, is used to assess assumptions about a population based on sample data, to determine their validity (Dash, 2018). The assertion that several assumptions are required in statistical hypothesis testing underscores the intricate nature of these assumptions in the data. Statistical hypothesis testing relies on several assumptions, including the measurement level of the variable, the sampling method, the shape of the population distribution, and the sample size. These assumptions are vital for obtaining valid results and may vary depending on the specific test or testing conditions. Assumptions are not just things that are accepted as true, or at least plausible, by researchers who will read your dissertation or thesis. They are the very foundation of your research, guiding your population, statistical test, research design, and more.

Tijmstra (2018) stated that no conclusions can be drawn about the hypotheses of substantive interest without making assumptions about the statistical model. The study will involve the assumptions from a T-test of two unequal variables: race and gender. When dealing with race and gender in a dissertation, several assumptions may be present. Using categorical variables can impact the assumption.Integrating categories in dissertations, such as race and gender, is not simple. It involves a comprehensive exploration of how these variables intersect and overlap and how they collectively influence individuals' experiences with structures of power.For instance, using the feminist theoretical lens ofintersectionality, researchers delve into the complex interactions of race, class, gender, and sexuality, aiming to provide a more nuanced understanding of power dynamics and social inequalities.

Assignment

Review the above passage and explain why you agree with the author's viewpoint.