Quiz 11: Summarizing Your Data


Data analysis is a process to evaluate the data set obtained for research purpose. Data analysis represents one or more of following four functions: • Collecting the data • Generalizing samples • Comparing the data • Finding a relation between data

Summarization analysis represents the data used in samples in the form of averages and percentages. This analysis represents data in two ways i.e. categorical data and metric data. Categorical data represent the percentage distribution while, metric data represent data in the form of averages, range, and standard deviation. Example: Analysis number of males and females participating in elections. Summarization analysis would represent participation percentage of males and females.

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. Example: 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.