I need answers to both sceanrios and the response must be less than 16% plagiarism. scenario 1. The p-value was slightly above conventional threshold, but was described as “rapidly approaching significance” (i.e., p =.06). An independent samples t test was used to determine whether student satisfaction levels in a quantitative reasoning course differed between the traditional classroom and on-line environments. The samples consisted of students in four face-to-face classes at a traditional state university (n = 65) and four online classes offered at the same university (n = 69). Students reported their level of satisfaction on a fivepoint scale, with higher values indicating higher levels of satisfaction. Since the study was exploratory in nature, levels of significance were relaxed to the .10 level. The test was significant t(132) = 1.8, p = .074, wherein students in the face-to-face class reported lower levels of satisfaction (M = 3.39, SD = 1.8) than did those in the online sections (M = 3.89, SD = 1.4). We therefore conclude that on average, students in online quantitative reasoning classes have higher levels of satisfaction. The results of this study are significant because they provide educators with evidence of what medium works better in producing quantitatively knowledgeable practitioners.scenario 4. A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private, and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables, r =.87, p < .01, showing that as level of income increases, job satisfaction increases as well

Answer the following questions.  ?       Explain how the F distribution is constructed by combining two chi squared distributions. What are the properties of the F distribution?  ?       Explain what are the objectives of ANOVA and how it is formulated. What are the underlying assumptions? What is the sum of the squares of errors and mean sum of squares of errors in ANOVA? What is the test statistic in ANOVA? What is the criterion for rejecting the null hypothesis? How the p value is determined in ANOVA? Provide a hypothetical example of ANOVA formulation. ?       What is the objective of the Fisher’s post-hoc test? How is it formulated? Are they non-directional or directional tests? What is the test statistic in Fisher’s test? What are the expected outcomes of the Fisher’s test?