Name: BUSINESS STATISTICS I
Code: 510201003
Type: Basic
ECTS: 7.5
Length of subject: Yearly
Semester and course: 1st Year - Yearly
Speciality:
Language: English
Mode of study: On-site class
Lecturer data: RUIZ MARÍN, MANUEL
Knowledge area: Métodos Cuantitativos para la Economía y Empresa
Department: Métodos Cuantitativos, Ciencias Jurídicas y Lenguas Modernas
Telephone: 4061 - 968325901
Email: manuel.ruiz@upct.es
Office hours and location: Tutorials will be carried out by request of the student sending an email to manuel.ruiz@upct.es
Qualifications/Degrees:
Academic rank in UPCT: Catedrático de Universidad
Number of five-year periods: 5
Number of six-year periods: 4 de investigación
Curriculum Vitae: Full Profile
Responsible for the groups: G1
1.-Collect, organize, and describe business data using appropriate univariate and bivariate statistical tools.
2.- Interpret frequency distributions, compute and explain measures of central tendency, dispersion, shape, and concentration, including the Gini Index.
3.- Analyze relationships between variables through correlation and regression (both linear and non-linear).
4.- Build and interpret index numbers
5.- Perform time series analysis to detect trends and seasonality, and apply forecasting techniques.
6.-Apply probability theory to solve problems involving uncertainty.
7.- Communicate statistical results effectively in oral and written form.
8.- Make data-driven decisions and draw conclusions based on statistical reasoning.
Statistical Foundations. Statistical analysis of a single variable. Univariate data: ungrouped and grouped distributions, including their frequency distributions, descriptive measures, and graphical representations. Attributes, including their frequency distributions, descriptive measures, and graphical representations. Analysis of bivariate data, including their frequency distributions and graphical representation, as well as contingency tables. Regression and correlation. Index numbers. Time series. Introduction to probability.
Unit 1. Statistical Distributions of a Characteristic
Descriptive statistics and inference.
Stages of statistical analysis.
Individual, population, and sample.
Types of variables.
Univariate frequency distributions. Graphical representation.
Unit 2. Characteristics of a Frequency Distribution
Measures of position, dispersion, shape, and concentration.
Unit 3. Bivariate Distributions
Bivariate distributions: tabulation, conditional and marginal distributions.
Covariance of two variables.
Independence of variables.
Unit 4. Regression and Correlation
Simple linear regression. The regression line.
Nonlinear regression: parabolic, power, exponential, and hyperbolic fits.
Coefficient of determination and linear correlation coefficient.
Prediction.
Unit 5. Index Numbers
Index numbers: definition, types, and properties.
Simple and composite indices. Laspeyres and Paasche indices.
Impact and contribution of a good to the variation of an index.
Deflation of economic series.
Linking and rebasing of series.
Unit 6. Time Series
Definition and components.
Determination of trend and seasonality. Moving averages and seasonal variation indices.
Prediction.
Unit 7. Introduction to Probability
Operations with events.
Definitions of probability. Axiomatic definition of probability (Kolmogorov).
Multiplication rule. Total probability theorem and Bayes' theorem.
Practical Sessions
Construction of frequency distributions and their graphical representation using a spreadsheet. Problem solving. Calculation of main descriptive measures using a spreadsheet. Related problem solving. Construction of index numbers (simple and composite), rates of change, impact, and contribution using a spreadsheet. Related problem solving. Construction of bivariate distributions and calculation of covariance using a spreadsheet. Related problem solving. Descriptive analysis of time series. Calculation of trend and seasonal variation indices using a spreadsheet. Related problem solving. Problem solving involving probability calculations.
Promoting the continuous improvement of working and study conditions of the entire university community is one the basic principles and goals of the Universidad Politécnica de Cartagena. Such commitment to prevention and the responsibilities arising from it concern all realms of the university: governing bodies, management team, teaching and research staff, administrative and service staff and students. The UPCT Service of Occupational Hazards (Servicio de Prevención de Riesgos Laborales de la UPCT) has published a "Risk Prevention Manual for new students" (Manual de acogida al estudiante en materia de prevención de riesgos), which may be downloaded from the e-learning platform ("Aula Virtual"), with instructions and recommendations on how to act properly, from the point of view of prevention (safety, ergonomics, etc.), when developing any type of activity at the University. You will also find recommendations on how to proceed in an emergency or if an incident occurs. Particularly when carrying out training practices in laboratories, workshops or field work, you must follow all your teacher's instructions, because he/she is the person responsible for your safety and health during practice performance. Feel free to ask any questions you may have and do not put your safety or that of your classmates at risk.
Class in conventional classroom: theory, problems, case studies, seminars, etc
Explanation of the main theoretical concepts.
Use of different descriptive data analysis techniques
Organize the collection, organization, and descriptive analysis of data
Argue and make decisions based on information analysis
Solve problem sheets corresponding to each unit throughout the academic year.
Use of different descriptive data analysis techniques
Ability to make decisions based on information analysis
Demonstrate communication skills in presenting results and writing technical reports
60
100
Class in a computer classroom: practical classes / internships
Practical classes in the computer lab. Solving exercises using software.
12
100
Assessment activities (continuous assessment system)
Exams and quizzes to be completed by students throughout the academic year.
Use of different descriptive data analysis techniques
Ability to organize the collection, organization, and descriptive analysis of data
Ability to make decisions based on information analysis
Ability to communicate results and write technical reports
3
100
Assessment activities (final assessment system)
Oral or written exams, individual or in groups, to assess the knowledge acquired.
3
100
Tutorials
Advising students on the development of a report to be submitted at the end of the course (20% of the final grade).
Answering students' questions that may arise after theoretical or practical classes.
Knowledge of different descriptive data analysis techniques.
Ability to communicate results and write technical reports.
8
50
Student work: study or individual or group work
Develop and write a statistical report based on a practical case with data.
Use different descriptive data analysis techniques.
Organize the collection, organization, and descriptive analysis of data.
Argue and make decisions based on information analysis.
Demonstrate teamwork skills in specific and multidisciplinary topics.
Demonstrate communication skills in presenting results and writing technical reports.
Independent study of the concepts explained in theoretical classes.
Solve the problems proposed by the instructor.
101.5
0
Spoken or written exams
A midterm exam will be held each semester.
Exams will be graded on a scale from 0 to 10 points.
Each midterm consists of two parts, each graded out of 10 points:
a multiple-choice test with 10 questions and 2 exercises.
Multiple-choice exams may include a penalty for incorrect answers, equal to or greater than the probability of guessing the correct answer at random.
Students who do not pass the course through continuous assessment will have the opportunity to sit for the final (global) exams of the subject, which will take place on the dates scheduled during the months of June and July.
The grade obtained in these final exams will represent 80% of the final course grade.
These assessments are intended to verify the acquisition of learning outcomes 1-6
80 %
Participation and involvement in the teaching-learning process
Preparation of a quantitative report based on the analysis of a dataset chosen by the student.
This assessment is intended to verify the acquisition of learning outcomes 7 y 8
10 %
Presentation and defence of assignments
Presentation of the quantitative report and delivery of exercises proposed by the profess. Participation in class activities.
This assessment is intended to verify the acquisition of learning outcomes 7 y 8
10 %
Spoken or written exams
Individual written exam to evaluate theoretical topics and practical questions.
Learning outcomes 1-6 are tested by the written theoretical exam. This part is worth 80% of the final grade.
The written exam may consist of problems and essay questions or multiple choice tests. In the case of a multiple-choice test, it may be singlechoice, including a penalty for incorrect answers equal to or greater than the probability of obtaining the answer at random, or multiplechoice with no penalty.
Grades obtained in the final assessment system will not be carried over to the resit (extraordinary) exam.
80 %
Participation and involvement in the teaching-learning process
Learning outcomes 7 and 8 will be assessed through the quantitative report that the student is required to submit, as specified in SE2 of the continuous assessment system.
Students may resubmit the quantitative report prior to the final exam. In such cases, only the new grade will be considered; the previous grade from continuous assessment will be disregarded. For components not being resubmitted, the original marks from the continuous assessment will be retained.
Grades obtained in the final assessment system will not be carried over to the resit (extraordinary) exam.
10 %
Presentation and defence of assignments
The student(s) will be required to present and defend the quantitative report outlined in SE2 of the continuous assessment system during an individual interview with the instructor. This evaluation aims to verify the achievement of learning outcomes 7 and 8 and corresponds to SE4 within the continuous assessment framework.
Grades obtained in the final assessment system will not be carried over to the resit (extraordinary) exam.
10 %
Correspondence between continuous and final assessment: In the final assessment system, the weightings of SE2 and SE3 from the continuous assessment are incorporated into the weighting of SE1 (exams) in the final assessment.
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