Spot Check And Statistical Analysis On The Mobile Telephone Of Undergraduate Of Rizhao City

With the continuing and steady development of the economy of our country and the service of mobile communication, the market of the mobile communication of our country grows rapidly, and the mobile telephone is popularized day by day. There are about 320 million students in our country at the present time. Having been a vital new force of consuming in the mobile telephone market, the students cannot be ignored. The manufacturers of mobile telephone should dig this latent large market enough. Then what strategy the manufacturers should adopt such that they ride the whirlwind in the student market of mobile telephone? This is without doubt an important issue that the manufacturers concern. We make spot check among several colleges of Rizhao city, and analyze the data by statistical methods and obtain some useful results.Since the data of the spot check is large sample with multi-variable, people usually analyze it by the methods of multivariate statistical analysis. Principal component analysis and factor analysis are two methods of multivariate statistical analysis. The two methods both start from the variance- and covariance-matrix of the variables, and summarize more variables into fewer ones to study the information of the population.Aiming at simplifying the data, the principal component analysis projects the higher-dimensional data to a lower-dimensional space with as less as possible loss of information. It is also a method of summarizing more dependent variables into fewer independent variables under the principle of minimizing the loss of information as much as possible.The factor analysis is different from the principal component analysis. The former aims at studying, simplifying and analyzing the inner complex relation of the original variables through finding the common factors. It decompounds each variable into two parts. One is the common factor. The other is the unique factor.This paper introduces the methods of principal component analysis and factor analysis in chapters 2 and 3, respectively, and gives the descriptive statistical analysis and the principal component analysis of the survey data in chapter 4.