APPLIED STATISTICS

  • Graduate School of Business |

Description

This course contains many topics and its applications in Business studies. In each topic we consider firstly the theoretical part then we consider its applications with real examples. Also, students can suggest a real problem according to their specialization and one of the case studies is to formulate the suggesting problems in statistical Model, then solving it. This course will introduce students to different types of statistics and statistical methods. Students will then be able to determine which statistic and /or method is appropriate for a given situation. Emphasis will not be placed on memorizing formulas, but instead will be placed on applying statistics to real world business problems.

Program

MBA

Objectives

  • At the completion of the course, students will be able to:  Explain the terminology associated with statistics.  Understand the different types of statistics and statistical methods.  Apply the appropriate statistic and/or method to real world business problems.  Progress in achieving this objective will be measured by scores on exams and  In-class assignments.  Analyze statistical problems by modern computer software such as SPSS.

Textbook

- David R. Anderson, Thomas A. Williams, Dennis J. Sweeney, and Jeffrey D. Camn, (2020), “Statisicts for business and economics”, 14th edition, cengage learning incorporation. - Darren George and Paul Mallery, (2020) “IBM SPSS statistics step by step: A simple guide and reference”, 16th edition, Routledge, New York.

Course Content

content serial Description
1Introduction to statistics & Describing data using tables (frequency table, cross tabulation and custom table) &Describing data using graphs (bar chart, pie chart, pareto diagram, dot plot, stem and leaf, and histogram)
2Describing data using numerical measures (measures of central tendency, measures of dispersion, and measures of distribution) &Empirical rule and chebychev rules for describing data&Determing extreme and outlies (Z- Score and Box plot)
3Introduction to probability &Probability distributions: (Binomial, Poisson and normal)&Estimation and confidence intervals
4Test of hyptheres and test selection&One sample test of hypotheses (parametric and nonparametric tests)&Two samples test of hypotheses (parametric and nonparametric tests)
5Three or more samples test of hypotheses (parametric and nonparametric tests)&Correlation analysis (Pearson and Spearman correlation coeffients)&Simple and multiple regression analysis

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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