The paper "The Behavior of Men and Women to Spend on Their Partners" is an outstanding example of a statistics assignment. In the study, “ Willingness” is an ordinal scale. An ordinal scale can be described as the measure of the order of the values as to what is important and significant while giving the differences between each one of them cannot be quantified. It measures non-numerical concepts like satisfaction, happiness willingness among others. Spending- on the other hand, can be described as a ratio scales since it quantifiable and measure between males and females.
Spending can further be classified as a continuous variable since it can take any number to a given unspecified amount. Which summary measure(s) were used? Explain your answer The study used a descriptive statistical summary. Descriptive statistics are used to describe the basic characteristics of the data in the study. They help in providing simple summaries about a sample of the study. Like how many agree and disagree, number male and female of the study. Were the summary measure(s) used appropriately? Explain. Yes, they were appropriately used as they were able to bring out the objective of the study and capture the whole aspect.
The study in question was merely to establish the willingness of either party to spend or not and by how much. What is conveyed in this item, or is intended to be conveyed? The main objective of the study was to establish the behavior of men and women to spend on their partners and extend on which one is willing to spend on each other. From the findings of the study, it reveals that men are willing to spend more and the study went further to give the percentage difference between the two groups.
I believe that the study achieved its objective and reported what it intended to report. Question two In the analysis of the diameters, we will analyze the data using descriptive statistics where the main things to be reported include: Mean of the diameters of two machines and the two combined Median Mean Standard deviation And the variance.