Applied Statistics for Business and ManagementApplied Statistics for Business and ManagementApplied Statistics for Business and ManagementStatistical Analysis of data for Business and Management professionals and academic researchers is of critical importance. Although there are specialized courses in Statistics for the students of Business and Management but none of the courses offer specialization in either, Stata, Eviews or SPSS and other computer packages. The current course introduces the application of Stata, Eviews and SPSS and other computer application while emphasis is laid on the development of theoretical background of the learners as well as with strong application of the techniques in Statistics for Business. The contents of the course offered to students include (but are not limited) to: Basic Data Management and Presentation Hypothesis Testing and Research Problems Causal Relationships, Regression Analysis and Applications Qualitative Data Analysis for Binary and Multi-chotomous variablesAlso the students of the course would be provided additional support via other mediums like phone, SMS, email beside the traditional and favorite WizIQ!This course will benefit the students of MBA, BBA and Doctorate students in Business and Management courses have to study and develop the skills of Quantitative Data Analysis. This course will master these students in their Statistical courses.Course Highlights Apply Statistical Techniques to real world data Apply Data Analysis to relevant research problems Wide range of contents which are usually required in broader contextsThe course package: 15 LIVE online classes Duration: Two to Four Weeks (Negotiable) All Days: 0500 PM to 1000 PM GMT (1000 PM to 0200 AM Pakistan Times) The course outline: Deterministic Data and Random Data Multivariate Tables, Scatter Plots and D Plots Measures of Association for Continuous Variables Measures of Association for Ordinal Variables Measures of Association for Nominal Variables Estimating Data Parameters Parametric Tests of Hypotheses Non-Parametric Tests of Hypotheses Statistical Classification Multiple Regression General Linear Regression Model General Linear Regression in Matrix Terms Multiple Correlation Inferences on Regression Parameters ANOVA and Extra Sums of Squares Polynomial Regression and Other Models Building and Evaluating the Regression Model Principal Components Dimensional Reduction Principal Components of Correlation Matrices Factor Analysis Survival Analysis The Exponential Model The Weibull Model The Cox Regression ModelRecommended books for this course: Probability and Statistics, Fourth Edition by Morris H. DeGroot & Mark J. Schervish SPSS for Introductory Statistics Second Edition by Morgan et al A First Course in Business Statistics, Eight Edition by JAMES T. McCLAVE, P. GEORGE BENSON & TERRY SlNClCH Note: Students must purchase these books themselves. These are not available as part of the course. Discount coupons may be asked from the teacher who would be happy to share if any available right now.