investment decisions

Introduction

  • Discussion on investing and decision-making around the Super Bowl.

  • Importance of making wise financial decisions to avoid losing money.

Business Analytics and Investment Decisions

  • Chapter 3 focuses on investment decision making.

  • Key concepts:

    • Investment Decisions: Choosing the best investment option based on data.

    • Variables to Consider:

      • Return on Investment (ROI)

      • Return on Assets (ROA)

      • Return on Equity (ROE)

      • Fair Value, Stock Price, and Market Capitalization

Sales vs. Revenue

  • Clarification of key concepts:

    • Sales: Total number of products sold.

    • Revenue: Total money earned including sales and other income (e.g. investments).

  • Example discussion comparing teams, investment strategies, and ensuring diversity in investments.

Class Structure

  • Objectives for the class:

    • Review of reading assignments and homework.

    • Progress updates on projects.

  • Project includes PowerPoint presentation as well as student involvement.

Chapter 3 Overview

  • Main focus on data analysis and summary measures.

    • Central Location: Understanding mean, median, and mode.

    • Mean (Average):

      • Calculated by summing observations and dividing by the number of observations.

      • Notation:

        • Mu (μ) represents mean.

        • Sigma (Σ) represents sum of observations.

  • Median:

    • Less affected by outliers, providing a better central measure in skewed data.

  • Mode:

    • The value that appears most frequently in a dataset.

    • Can be unimodal, bimodal, or multimodal, indicating how many times values repeat.

Measures of Dispersion

  • Range: Difference between highest and lowest values in the dataset.

    • Quick indication of data spread.

Statistical Terms Related to Quartiles

  • Quartiles: Values that divide the dataset into four equal parts.

    • Q1 (First Quartile): Represents the 25th percentile.

    • Q2 (Median): Represents the 50th percentile.

    • Q3 (Third Quartile): Represents the 75th percentile.

    • Importance of Quartiles: Helps in understanding data distribution and making comparative analysis.

Project Analysis and Class Activities

  • Students will present findings as part of their assessments.

  • Focus on coaching students to analyze data effectively.

Conclusion

  • Reinforcement of importance of data in making informed business decisions.

  • Encouragement for students to engage actively in discussions and projects.