SHEB408 Project: Business statistics

Annotation:

This introductory unit provides an understanding of the basic statistical methods required for the study of business-related problems. The unit introduces students to the assumptions, concepts and techniques used by statisticians to make decisions. This unit focuses on descriptive statistics, probabilities and probability distributions, inferential statistics and regression analysis.

This unit aims to:

• develop basic statistical skills so students can apply them to business problems.

• give emphasis to methods of estimation and hypothesis testing which have a potential role in a manager’s decision-making process.

• introduce regression analysis so students can apply it to business problems.

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Business Studies (Joint programme with The University of Sheffield)

Lecturers:

Assist. Prof. Ekatherina Tzvetanova-Georgieva, PhD

Course Description:

Competencies:

Students who complete this course:

1) will be able to:

• Compute the mean, median, and standard deviation of grouped and ungrouped data

• Undertake regression and correlation analysis and construct a simple regression model
Prerequisites:
Students are required to have the following knowledge and/or skills:

• Business Statistics

Types:
Full-time Programmes

Types of Courses:
Project

Language of teaching:
Bulgarian

Topics:

  1. DESCRIPTIVE STATISTICS
  2. ONE SAMPLE HYPOTHESIS TESTING FOR THE POPULATION MEAN
  3. REGRESSION ANALYSIS, CORRELATION ANALYSIS, MULTIPLE REGRESSION ANALYSIS

Bibliography:

• Lind, D. A. Marchal, W. G., Wathen, S.A. (2017) Statistical Techniques in Business & Economics. 17th edition. McGraw-Hill.

• Salvatore, D., Reaggle, D., (2011), Statistics and Econometrics, 2nd edition, Schaum’s Outlines.

• McClave, J.T., Benson, P.G., Sincich, T.T. (2018) Statistics for Business and Economics. 13th edition, Pearson.

• Freedman, D., Pisani, R., and Purves, R. (2014) Statistics, 4th revised edition, Norton.