Statistical Methods and Data Modeling

The course “Statistical Methods and Data Modeling” is exclusively of applied natu re and computer intensive. The course is broadly divided into two components namely the theoretical (or conceptual) and practical. The first component is also divided further into two parts: the statistical methods and data modeling. The practical compone nt deals with the data analysis using Microsoft Excel for both statistical methods and data modeling. There are altogether five units in the syllabus including practical component. First unit deals with the application of descriptive statistical analysis appropriately which suits for the data set. Second unit of the course is exclusively devoted on the inferential statistics and their applications specially focusing on administrative and finance related data. This unit also include the application of test of significance of single mean, single proportion, double mean(for independent samples), more than two means(for independent samples) focusing on administrative and finance related data. Further, this also deals with the test of significance of associatio n between two independent categorical variables and test of significance of two variances in the relevant data. Unit three involves the index numbers, types and their applications with real Nepalese data in the relevant field. Unit four deals exclusively o n understanding and applications of multiple linear regression modeling, its assumptions, and regression diagnostics. It also incorporates the time series modeling. The applications of these techniques are attempted focusing on Nepalese finance, business and banking data. The last unit exclusively deals to develop the skills to analyze the data through Microsoft Excel and the interpretations of the results. The course helps students to understand different statistical methods (descriptive and inferential st atistics), multiple linear regression modeling and to apply them appropriately. Course Learning Outcomes On completion of this course the students will be able to: Understand the meaning and types of different statistical tools; Understand the importance of descriptive and inferential statistics; Perform appropriate descriptive statistical analysis; Apply appropriate statistical test(s) as checking the assumptions of the statistical tool(s); Understand the fundamental concept of regression model, use line ar regression model and able to interpret the results; Understand simple time series data and able to apply to simple trends analysis; Apply Microsoft Excel to explore and to analyze the data.

This course “Statistical Methods and Data Modeling” aims to provide students with better understandings of general concepts, meaning and use of statistics and develop basic skills f or applying descriptive and some inferential statistics for analyzing the data related to business, management, finance, banking and economics. Students will also be able to apply linear regression model with real data and be able to interpret the results with reference to the specific data problems. This course also equips the student with skills to analyze the data through the use of MS Excel efficiently. Course Description The course “Statistical Methods and Data Modeling” is exclusively of applied natu re and computer intensive. The course is broadly divided into two components namely the theoretical (or conceptual) and practical. The first component is also divided further into two parts: the statistical methods and data modeling. The practical compone nt deals with the data analysis using Microsoft Excel for both statistical methods and data modeling. There are altogether five units in the syllabus including practical component. First unit deals with the application of descriptive statistical analysis appropriately which suits for the data set. Second unit of the course is exclusively devoted on the inferential statistics and their applications specially focusing on administrative and finance related data. This unit also include the application of test of significance of single mean, single proportion, double mean(for independent samples), more than two means(for independent samples) focusing on administrative and finance related data. Further, this also deals with the test of significance of associatio n between two independent categorical variables and test of significance of two variances in the relevant data. Unit three involves the index numbers, types and their applications with real Nepalese data in the relevant field. Unit four deals exclusively o n understanding and applications of multiple linear regression modeling, its assumptions, and regression diagnostics. It also incorporates the time series modeling. The applications of these techniques are attempted focusing on Nepalese finance, business and banking data. The last unit exclusively deals to develop the skills to analyze the data through Microsoft Excel and the interpretations of the results. The course helps students to understand different statistical methods (descriptive and inferential st atistics), multiple linear regression modeling and to apply them appropriately. Course Learning Outcomes On completion of this course the students will be able to: Understand the meaning and types of different statistical tools; Understand the importance of descriptive and inferential statistics; Perform appropriate descriptive statistical analysis; Apply appropriate statistical test(s) as checking the assumptions of the statistical tool(s); Understand the fundamental concept of regression model, use line ar regression model and able to interpret the results; Understand simple time series data and able to apply to simple trends analysis; Apply Microsoft Excel to explore and to analyze the data.