## FSEG – Bachelor first year – EG

The slides for the lectures of **Probability and Statistics I** are available on Moodle. The final exam will consist in a test on Moodle with numerical answers.

## Tentative syllabus

**Chapter 1 Data and Statistics**- Statistics
- Applications in Business and Economics
- Data
- Data Sources
- Descriptive Statistics
- Statistical Inference
- Computers and Statistical Analysis
- Data Mining
- Ethical Guidelines for Statistical Practice

**Chapter 2 Descriptive Statistics: Tabular and Graphical****2.1 Summarizing Qualitative Data**- Frequency Distribution
- Relative Frequency and Percent Frequency Distributions
- Bar Graphs and Pie Charts

**2.2 Summarizing Quantitative Data**- Frequency Distribution
- Relative Frequency and Percent Frequency Distributions
- Dot Plot
- Histogram
- Cumulative Distributions
- Ogive (Cumulative curve)

**2.3 Exploratory Data Analysis: The Stem-and-Leaf Display****2.4 Cross-tabulations and Scatter Diagrams**- Cross-tabulation
- Simpsonâ€™s Paradox
- Scatter Diagram and Trend-line

**Chapter 3 Descriptive Statistics: Numerical Measures**- 3.1 Measures of Location
- Mean
- Median
- Mode
- Percentiles
- Quartiles

**3.2 Measures of Variability**- Range
- Interquartile Range
- Variance
- Standard Deviation
- Coefficient of Variation

**3.3 Measures of Distribution Shape, Relative Location, and Detecting**- Outliers
- Distribution Shape
- z-Scores
- Chebyshevâ€™s Theorem
- Empirical Rule
- Detecting Outliers

**3.4 Exploratory Data Analysis**- Five-Number Summary
- Box Plot

**3.5 Measures of Association Between Two Variables**- Covariance
- Interpretation of the Covariance
- Correlation Coefficient
- Interpretation of the Correlation Coefficient

**3.6 The Weighted Mean and Working with**- Grouped Data
- Weighted Mean
- Grouped Data

- 3.1 Measures of Location

## Main reference

- Anderson, D. and Sweeney, D. and Williams, T. and Camm, J. and Cochran, J. (2019).
*Statistics for Business & Economics*. Cengage Learning.