Generalization analysis gives a generalized statement. it is certainly not a fact, but a consortium of hypothesis and confidence. This analysis asks for hypothesis test and confidence intervals.
The researcher conducts hypothesis tests and/or calculates confidence intervals for making a statement about the population represented by the sample.
It could be generalized that 60% voting happen in recent elections. The confidence can be shown that almost 90% youth aged between 18 and 30 years has been participative.
The proper measure of central tendency to summarize metric variable is Average.
Average is most useful to measure central tendency in case of metric variable because it facilitates comparing characteristics of various scales. It makes similarities and differences clear and precise.
A researcher identifies meaningful differences between variable with the help of percentage difference tests and average difference tests. This kind of analysis is known as difference analysis.
Categorical data and metric data are used in the analysis.
80% of college boys have bikes in a college and 60% of total students own a bike. An analyzer can identify how much percentage of girls own a bike.