Quantitative business methods
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This document outlines the topics and learning outcomes of a Quantitative Business Methods course. The 10 topics covered are: graphical data analysis, statistical measures, regression and correlation, time series analysis, index numbers, sampling techniques, statistical inference 1 & 2, statistics in quality, and financial mathematics. For each topic, students will demonstrate they can apply the appropriate techniques and use computer packages where relevant. The course is 12 hours over 2 weeks, meeting 3 times per week, and costs 600 Egyptian pounds total.
Quantitative business methods
- 1. Quantitative Business Methods Content, Graphical data analysis, Statistical measures, Regression and correlation, Time series analysis, Index numbers, Sampling techniques, Statistical inference, Statistical in quality, Financial mathematics. Learning Outcomes Topics 1. Graphical data analysis At the completion of this topic, students will be able to demonstrate that they can: Use appropriate methods of graphical exploration and presentation with a focus on excellence and integrity Use appropriate computer packages to explore data sets especially large ones Appraise published graphs 2. Statistical measures At the completion of this topic, students will be able to demonstrate that they can find and interpret some basic statistical measures 3. Regression and correlation At the completion of this topic, students will be able to demonstrate that they can: Use the basic principles and methods of regression and correlation Use statistical or spreadsheet packages to draw scatter plots, fit regression models and draw residuals plots 4. Time series analysis At the completion of this topic students will be able to demonstrate that they can: Apply basic time series analysis Use PC infos where appropriate 5. Index numbers At the completion of this topic students will be able to demonstrate that they can: Use index numbers for some basic purposes Use PC infos where appropriate 6. Sampling techniques At the completion of this topic, students will be able to demonstrate that they can correctly use basic sampling techniques 7. Statistical inference 1 At the completion of this topic students will be able to demonstrate that they can: Find and interpret confidence intervals for means and proportionsUse computer packages where appropriate ANZcc | Middle East Regional Office: 19/1158 ministers square, Sheraton, Cairo, Egypt. Tele: +2022699770 - +2022699771 Mobile: +201117701897 - +201117701898 Website: www.anzcc.com E-Mail: info@anzcc.com
- 2. 8. Statistical inference 2 At the completion of this topic students will be able to demonstrate that they can: Find and interpret confidence intervals for means and proportions Use computer packages where appropriate 9. Statistics in quality At the completion of this topic students will be able to demonstrate that they can: Describe some aspects of a quality philosophy Use methods from the rest of the subject in business situations where the aim is to improve quality 10. Financial mathematics At the completion of this topic students will be able to demonstrate that they can: Use basic financial mathematics correctly Use a computer spreadsheet where appropriate Our focus is on student-centered learning. Our practical and accessible qualifications give students skills that they can apply in their day to day work or life experiences. The courses can be adapted to meet particular learning needs and student interests and can be combined to provide a unique integrated program. Duration : 12 hours 2 weeks 3 times per week Fee : 600 L.E Payment: 200 L.E registrations 200 L.E after third Class 200 L.E at the end of the course. More information: http://www.anzcc.com/ Address: 19/1158 ministers square, Sheraton. City: Cairo Country: Egypt Cell Phone: 01117701898 - 01117701897 Telephone: +202269970 - +2022699771 E-mail: info@anzcc.com ANZcc | Middle East Regional Office: 19/1158 ministers square, Sheraton, Cairo, Egypt. Tele: +2022699770 - +2022699771 Mobile: +201117701897 - +201117701898 Website: www.anzcc.com E-Mail: info@anzcc.com