Professors
The learning outcomes are:
LO01 - Using Excel and SPSS for data analysis
LO02 - Looking for relations between data
LO03 - Learning Random Variable Theory and discrete and continuous distributions
LO04 - Building confidence intervals and designing research on hypothesis testing
LO05 - ANOVA
LO06 - Conducting a study case and elaborate adequate survey to address a problem
1. Probability
- Combination
- Probability, Conditional Probability and Bayes Theorem
- Random variables
- Binomial distribution & Bernoulli
- Normal distribution (and Student distribution)
2. Statistical Tools Presentation
- Excel
- SPSS (Descriptive statistics and Contingency Tables)
3. Sampling
- Sampling distribution
- Population estimation
- Confidence intervals
- Hypothesis Testing
4. Correlation and regression
- Correlation between variables
- Simple and Multiple Linear Regression
5. Anova Model
Weekly teaching will consist of one lecturing session to explain basic concepts and lab session to apply knowledge to practical situations. Practice sessions are for problem solving.
Theory Exam 20%
Work in class 20%
Assignments 20%
Midterm 15%
Group project 25%
Mid-semester exam and the final project grades must be greater than 4 points. In other words, you fail the subject
if you get less than a 4 in any of these concepts.
Important: The subject will be passed if the overall calculation of the grade is equal or higher than 5.
Prohibition of AI tools: The use of AI is forbidden in this course. Thus, the use of these tools by students will be considered fraud and will involve the application of the copy regulations of La Salle Campus Barcelona (https://www.salleurl.edu/en/copies-regulation).
RETAKE POLICY: Retake exam will be cumulative and the grade from the retake exam will count as the gradebook grade.
Individual and group assignments, along with the final project must be uploaded to campus virtual before the retake exam. Otherwise, you wont be allowed to write the exam.
The maximum grade will be equal to 6 points.
Recommended textbook is:
Fundamentals of Business Statistics, Sweeney, D. Williams, T. & Anderson, D. Cengage Learning; 6th edition 2011.
Recommended online course (free) is:
https://www.coursera.org/learn/stanford-statistics