如何提高大学生的学习兴趣——以《统计分析软件》课程为例

在经过十二年的考试,最终进入大学,在这一阶段性目的实现后,学生不知道接下来该做什么。因为没有了学习的目的,也就没有了学习动力,没有了学习动力,也就没有了学习兴趣,因此如何提高大学生的学习兴趣对大学老师来说是一个不小的挑战。本文以实际教学为例,阐明了提出与学生紧密相联的、让学生感兴趣的问题,并让学生实际参与到教学中来,不失为提高大学生学习兴趣的好方法。

《统计分析软件》案例库建设现状及思路

目前《统计分析软件》课程案例库建设的滞后直接影响了该课程的教学效果。论文从案例库建设的现状出发，结合多年教学经验，有针对性地提出案例库建设的基本原则，试图为该课程教学案例库提供建设思路。

大数据背景下《统计分析软件应用》课程的优化探索——以西安财经大学行知学院为例

大数据背景下,统计思想、方法等均发生了重大的变化,对高校实践应用型人才的培养更是提出了新的要求,本文以西安财经大学行知学院统计学专业核心课《统计分析软件应用》为例,在授课过程中整理出当下课程教学模式中有待改进的地方,从课堂教学、实践教学、课程考核体系三方面提出了统计分析软件应用课程优化的具体措施,为大数据背景下高校课程的改革提供参考建议。

Spatial Process of Green Infrastructure Changes Associated with Rapid Urbanization in Shenzhen,China

Through a case study of Shenzhen City,China,this study focused on a quantitative method for analyzing the spatial processes involved in green infrastructure changes associated with rapid urbanization.Based on RS,GIS and SPSS statistics software,the approach includes selection of the square analysis units and representative landscape metrics,quantification of the change types of landscape metrics in all analysis units through two indices and hierarchical cluster analysis of the above analysis units with different landscape metric change types(i.e.spatial attributes).The analyses verify that there is a significant sequence of continuous changes in green infrastructure in Shenzhen.They are the perforation,the segmentation,the fragmentation,the evanescence and the filling-in processes,which have a good spatio-temporal correspondence with urbanization and reflect the synthetic influence of urban planning,government policies and landforms.Compared with other studies on quantifying the spatial pattern,this study provides an alternative probe into linking the spatial pattern to spatial processes and the corresponding ecological processes in the future.These spatio-temporal processes offer many opportunities for identifying,protecting and restoring key elements in an urban green infrastructure network for areas in the early stages of urbanization or for non-urbanized areas.

Development of New Macadamia Products

The macadamia tree （macadamia integrifolia maiden ＆ betche）, originally from Australia, has smooth and rounded fruits, this walnut produces richly flavoured nuts, which are used ＂in natura＂ accompanying appetizers, in the manufacture of candies, being well accepted by the population. This paper analysed the production process of the agro industrial cooperative producers of macadamia nut （Coopmac）, located in the town of Sao Mateus-ES/Brazil, and responsible for the production and marketing benefits for the states of Espirito Santo and Bahia. This analysis was performed in order to identify new opportunities for developing new products. The following steps were explored： analysis of the current procedure, ideas generation, analysis of potential ideas, development of a product concept and development of a prototype product. In cooperative, macadamia oil was only extracted. It was decided to develop a potential product from this oil. Initially, chemical analyzes were performed with this oil and opted for the production of soaps, liquid and bar. During this step, the methodology of design of experiments was used to develop the prototype. Sensory analysis, based on the LAM type hedonic scale, was used in the tests. The data were analyzed and could be distinguished the best formulation and the main effects for each assessed parameter. In this step, the statistical analysis software was used. From the value of the overall quality of the sample, greater acceptance for liquid soaps was obtained for a formulation with lower oil volume and higher volume of amphoteric. When concerning the sample bar soaps, the best formulation had the lower ratio of oil volume, the higher volume of amphoteric and lower mass of clay. The authors expect to contribute to generation of scientific and technological knowledge in order to effectively meet the practical needs of efforts directed to the production of macadamia nuts in the state of Espirito Santo.

Quality of Accounting Information and Internal Audit Characteristics in Nigeria

The basic goal of accounting is to provide quality accounting information that will aid reliable decision-making. The quality level of this accounting information comes from the company＇s governance practices, thereby emphasizing the importance of corporate governance in companies. Recently, following the financial crises resulting in accounting scandals, attention has been moving towards internal audit function as an important factor in the structure of corporate governance. This paper therefore examined the extent of the relationship between internal audit function and the quality of accounting information of companies. The study adopted the survey research design. The research instrument employed was questionnaire which was administered to internal auditors of the ＂Big Four＂. Linear regression analysis was employed in the analysis of the data collected with the use of Statistical Packages for Social Sciences （SPSS）. The results revealed that there is a significant relationship between the internal audit characteristics and the quality of accounting information. It was recommended that in order to provide credibility to the financial statement, there should be a law in place mandating attachment of internal auditors report to the financial statement.

The Research of Education Technology Based on the SPSS Statistical Software

Through a questionnaire survey of primary and secondary school teachers and Normal Students to carry out a statistical analysis of the data based on SPSS 17.0 statistical analysis software. So we draw primary and secondary school teachers and normal students to arrive at the current status quo of educational technology ability and analyzes the strengths and weaknesses of the ability of its parts. Finally, we proposed new initiatives and methods of education and technical ability training.

Performance Analysis for Multimedia Communication Systems with a Multilayer Queuing Network Model

Software performance evaluation in multimedia communication systems is typically formulated into a multi-layered client-server queuing network(MLCSQN) problem. However, the existing analytical methods to MLCSQN model cannot provide satisfactory solution in terms of accuracy, convergence and consideration of interlocking effects. To this end, this paper proposes a heuristic solving method for MLCSQN model to boost the performance prediction of distributed multimedia software systems. The core concept of this method is referred to as the basic model, which can be further decomposed into two sub-models: client sub-model and server sub-model. The client sub-model calculates think time for server sub-model, and the server sub-model calculates waiting time for client sub-model. Using a breadthfirst traversal from leaf nodes to the root node and vice versa, the basic model is then adapted to MLCSQN, with net sub-models iteratively resolved. Similarly, the interlocking problem is effectively addressed with the help of the basic model. This analytical solver enjoys advantages of fast convergence, independence on specific average value analysis(MVA) methods and eliminating interlocking effects.Numerical experimental results on accuracy and computation efficiency verify its superiority over anchors.

On the True Face of the Economic Statistics

In 2012, China National Ministry of Education issued a new undergraduate course catalog, economic statistics to be classified as a second level discipline of applied economics. However, what specific content should be included in the second level discipline has become a very important issue. What should be taught to students or how can they adapt to the needs of the social market aroused a wide attention. For this case, the National Ministry of Education has given a clearly provision for economic statistics＇ core courses, but whether these main courses can reflect the actual needs and characteristics of economic statistics or not still needs some considerations and discussions. This article started from the angle of the studies on China and the U.S. Journals concerning economic statistics. Using text mining by R, a recent mainstream statistical analysis software, gives a comparative analysis on the contents of economic statistics for recent decades. We created wordcloud about the contents of core statistical journals by R which can help us visually examine the course of economic statistics discipline development for the comparative study. Besides, we drew a conclusion that there were significant differences between China and America＇s economic statistics, the main difference is the United States pay more attention to the exploration of new methods and be able to adapt to market demand, the development of China＇s economic statistics are still more traditional, it need a better understanding of the multi-disciplinary knowledge of education, such as Bayesian and dynamics. Another is that the curriculum of China＇s economic statistics are corrected for China＇s actual situation, a new training program pay more attention to students＇ practical ability and social practice. There are a lot of practical problems remain untouched or unsolved which need efforts of decades probably.

The Impact of Enterprise Resource Planning （ERP） System on the Cost and Price of Auditing Auditor＇s Perspective

Technology plays a key role in today＇s business environment. Many companies greatly rely on computers and software to provide accurate information to effectively manage their business processes. It is becoming increasingly necessary for all businesses to incorporate information technology solutions to operate successfully. One way for many corporations to adopt information technology （IT） on a large scale is by installing enterprise resource planning （ERP） systems to accomplish their business transactions and data-processing needs. ERP systems are software packages that enable the integration of business processes throughout an organization. This study aims to determine the effect of the ERP system on the cost of auditing period compared with traditional computerized （non-ERP） systems. According to cost analysis, the study also points out the changes in audit price. The methodology used in this research is survey-based data collection. The questionnaires are sent to auditors who are working with companies with ERP systems. The answers are processed and analyzed using Statistical Package for Social Sciences （SPSS） 20. The data are performed using the statistical test to determine the effect of ERP usage on the cost of auditing process and pricing policy of auditors. The findings of this study are： （1） Companies with ERP systems are reducing their auditing costs; and （2） Auditing companies are not implying a low rate of price to their customers using ERP.

Probability and Statistical Error of Soil Sampling on Patches Assimilated during Delineation of Precision Farming Management Zones

When precision fanning management zones （MZs） are delineated in an agricultural field for precision nutrient management, unsupervised classification and cluster analysis procedures using remote sensing image analysis software are performed. These unsupervised classification and cluster analysis procedures are performed on the basis of the assumption that grouping of data points into naturally occurring clusters reduces within zone variability. The problem is that, there are small patches of different soil types within each management zone that are regarded as insignificant by the farmer, and are assimilated within larger MZs. These will consequently make soils within a management zone to be inhomogeneous. The objective of this study was to determine the probability of soil sampling occurrences on patches assimilated during delineation of MZs after a cluster analysis was performed. The study was conducted on a 5.0 ha （25°05′34.46″ S and 28°18′30.01″ E） and a 24.4 ha （23°59′04.61″ S and 28°52′29.43″ E） fields in the Waterberg District of the Limpopo Province in South Africa. A bare-soil high resolution Quickbird satellite imagery of a conventionally tilled agricultural field was used to develop MZs in the field. Soils were sampled using systematic unaligned sampling on a 35.0 m and 30.0 m grids for the 24.4 ha and 5.0 ha fields, respectively. Probabilities were calculated based on percentage area assimilated during the cluster analysis procedure that was performed using remote sensing image analysis software. The results indicated that in the 24.4 ha field there were 2.5 ha patches of high and medium zones that were assimilated within the low zone, and thus making low zones non-homogeneous. After cluster analysis and assimilation of patches, the low zone in the 24.4 ha field increased by 45.5% （2.5 ha） while the high zone was 16.4% （2.4 ha） smaller in size. In the smaller field of 5.0 ha, the high zone, which was originally 3.20 ha, lost 0.37 ha （11.6%）, which was assimilated in either low or medium zone. The study indicates that unequal probability proportional to size sampling could be used to minimize error when sampling across precision farming MZs because typically the low, medium and high MZs are not of equal size and do not contribute equally towards the mean values of soil samples.

Application of Nicknames Among llami Kurdish Students, West of Iran

The present study was an attempt made to explore the nature of utilizing nicknames, as an insufficiently researched area, in the context of Ilami Kurdish highschools. To realize this purpose, randomly as many as 200 male and female highschool students from both state and non-state schools were asked to participate in the survey by filling in the forms given to them. The elicited nicknames were those commonly used by students in their own mother tongue, that is Ilami Kurdish and not in Persian, as the formal language of people across lran. The data gathered were then analyzed using descriptive statistics. The findings revealed that physical characteristics, both for male and female students, accounted for the greatest category based on which nicknames were shaped among highschool students. Moreover, the most nicknames applied by llami Kurdish highschool students were found to be neutrally evaluated followed by positive and negative evaluation, respectively. Finally, statistical computation done by SPSS package demonstrated that gender did not act as a significant variable in this inquiry.

Profitable credit card business empirical analysis of factors

Since 1995, major domestic commercial banks are beginning to have a variety of credit cards issued. However, at present, China＇s relatively low profitability of the credit card business, it accounts for a smaller proportion of total bank income. By means of credit card revenue／cost structure analysis, the authors found spending and overdraft balances affecting credit card business, an important factor in profitability. At the same time, combined with a commercial bank＇s existing statistical data, using SPSS software correlation and regression analysis, the authors found that the key to improve the bank card revenue is to raise China＇s commercial banks, credit card revolving credit utilization, and expand the scale of overdraft balances.

Research on the Model of Performance Evaluation of the Industry Cluster Brand

Firstly, this article carry on the theory research combined with the related theories of cluster brand and the relevant theories of performance evaluation, and distill four main indicators factors of performance evaluation of the cluster brand. Then proceed analysts survey and questionnaire investigation, and then use SPSS software to process date for statistical analysis; use AMOS software to formulate the second-order model, at last, establish structure relationship model of performance evaluation of the cluster brand. Build the model of the cluster brand performance evaluation with fuzzy-synthetic evaluation model.