Among the most compelling topics were mainly those of framing the Null and Alternative Hypothesis, hypothesis testing in statistics, statement Structuring, determining the Alternative and Null hypothesis centered on degrees of self-assurance Illustration of the the coefficient of the association of two numerical values and determining of coefficient of association with accessible data. Other topics which I found out to be challenging included describing how distinct the observations are from each other by use of the standard deviation. The essence of leeway fault, quantitative and definite data. Developing average scores of ordinary distributions, developing the right size of models; including models of small sizes and finally the examination of the SWOT analysis of association.
I have come to realize that discussion groups are very helpful in further understanding of the challenging topics especially those on the determination of the averages of the data. This is because these topics needs much practice. With a committed discussion group of active members, I have been convinced that everything needs further perusal to get the clear concept. This is because you get the chance to do a problem and get corrections and clarifications thereof from the group.
So far, most of the topics are almost clear but I think some topics need to be re-visited for revision purposes and for clarity. These include: null and alternate hypothesis, averages, sample types and standard deviation since these are the main concepts that needs statistical gauging. Self-assurance intervals, Prospect and Payouts, graphing of the data acquired, the degrees of self-assurance and the Coefficient of association.
According to my personal view, I think had the presentation be done in the lecture halls, it would have enhanced more understanding as this enhances active participation of everyone in the class. To summarize I cannot forget to admit that the coverage on these topics has been very satisfactory.