STAT 17: Statistical Methods for Business and Economics

28 Apr 2026

The $15 Million Algorithm

In 2006, Netflix offered a $1 million prize for improving their recommendation algorithm by just 10%

The result? Better recommendations led to $15+ million in annual savings from reduced customer churn

The tool? Statistics and data analysis

Every Decision is a Statistical Decision

  • Business: Should we launch this product? → Market research & hypothesis testing
  • Economics: Will raising minimum wage hurt employment? → Regression analysis
  • Personal: Which job offer should I take? → Expected value calculations
  • Investment: Is this stock undervalued? → Probability distributions

Every Decision is a Statistical Decision

You’re not just learning formulas—you’re developing a superpower for life: the ability to make decisions with confidence in an uncertain world.

Why Statistics Matter for YOUR Future

💼 Business Leaders

  • 8 in 10 business leaders say data is critical in decision-making at their organization.
  • Companies like Google, Amazon, Apple: built on statistical insights
  • AI? also runs on statistical insights - and understanding statistics is important to understand the uses and limitations of the new products.

🧠 Problem-Solving Skills

  • Critical thinking: Question assumptions, evaluate evidence
  • Pattern recognition: See trends others miss
  • Risk assessment: Make better decisions under uncertainty
  • Communication: Present compelling, data-backed arguments

🚀 Your Competitive Edge

In any field—marketing, finance, consulting, entrepreneurship, policy—you’ll be the person who can turn data into actionable insights

Meet Your Teaching Team 👋

Your instructor

Photo of Instructor
Prof. Marcela Alfaro Cordoba
Associate Professor of Teaching - Statistics
Stats & Data Science Educator and Education researcher
Applied statistician (environmental & biological problems)
  • 🍃 15+ years teaching statistics
  • Background: Statistical & Data Science Education + Applied Stats
  • Originally from Costa Rica 🌊
  • Pronunciation: [mahr-sahl-ah]

R programming
stats
data visualization
data science
open and reproducible science

Office Hours: Tuesdays and Thursdays 11:25 am – 12:00 pm, in person (after class, outside the classroom) + online by appointment. I’m here to help you succeed—use OH!

Your Teaching Assistants

Qianyu Dong
PhD Candidate
Sections A & B qdong14@ucsc.edu

Yongqi Chen
PhD Student
Sections C & D ychen574@ucsc.edu

Lissette Villa
PhD Student
Sections E & F liilvill@ucsc.edu

+ One more TA and 2 DS to be added this week.
+ Learning Support Services Tutors: Zadok Panunto & Sharry Eydel
+ Readers: Misha Tran Burton, Ingrid Eliza Fowler-White, Evelyn Ruedas, and Amani Sikand

Your turn!

  • First, introduce yourself to at least 3 of your neighbors.
  • Then, if you haven’t, go to Canvas and check all Week 0
  • Complete Survey 1 and the syllabus acknowledgement.

LSS Successful Slug Workshop

Materials for the workshop

Course Essentials 📋

Required Materials

📚 Textbook (FREE!)

Introduction to Business Statistics
OpenStax, 2nd Edition

openstax.org/details/books/introductory-business-statistics-2e

💻 Technology

  • Laptop/desktop computer
  • Google Suite access
  • Poll Everywhere (I’ll cover the cost!)

📍 Class Logistics

When: T/Th 9:50–11:25 AM Where: Classroom Unit 002 Lab: STAT 17L (concurrent enrollment required)

Communication:
1. Ed Discussion (best option!)
2. Email (2-3 day response time)

Grade Breakdown

Component Percentage Details
Final Exam 30% Jun 8, 12:00
Midterm Exam 30% Apr 30(in class)
Worksheets 15% 8 total, drop 3 lowest
Homework 5% 8 total, drop 3 lowest
Participation 15% Attendance + engagement
Exam Wrapper 5% Reflection assignment

Grade Breakdown

Grade Scale

Letter Score Letter Score
A+ x ≥ 99 C+ 70 ≤ x < 74.99
A 95 ≤ x < 98.99 C 65 ≤ x < 69.99
A- 90 ≤ x < 94.99 C- 60 ≤ x < 64.99
B+ 85 ≤ x < 89.99 D 50 ≤ x < 59.99
B 80 ≤ x < 84.99 F x < 50
B- 75 ≤ x < 79.99 P/NP x ≥ 65 / x < 65

The Rules That Matter Most

Attendance & Flexibility

  • 85% of completed activities in lectures is perfect attendance
  • Discussion sections have mandatory attendance for worksheet credit
  • Eliminate 3 out 8 WS to account for absences, no need to justify.
  • All exams in-person only

📝 Assignments

  • Homework: completion-based, 1 week to complete
  • Late penalty for HW: -1 point per day. Closed after 1 day.
  • Worksheets: pair work in discussion sections. Submitted at the end of the DS. No late work accepted.

The Rules That Matter Most

🤖 AI Policy

For studying: ✅ Create practice problems, explain concepts
For graded work: ❌ No AI assistance on homework, worksheets, exams

Why? You need to build these neural pathways yourself!

🎯 Success Tips

  • Read textbook weekly
  • Attend office hours early & often
  • Form study groups
  • Build formula sheets as you go

Academic Integrity

What’s Expected

  • Submit your own work on all graded assignments
  • Proper citations when using external sources
  • No sharing of exam content
  • Ask questions if you’re unsure about the rules

What’s Not Allowed

  • Using AI tools for homework/worksheets/exams
  • Copying from classmates or online sources
  • Sharing exam questions with future students
  • Self-plagiarism from other courses

What You’ll Master This Quarter

  1. Describe data effectively → Tell compelling stories with numbers
  2. Understand probability → Make decisions under uncertainty
  3. Master sampling & estimation → Draw conclusions from limited data
  4. Hypothesis testing → Prove your points with statistical evidence
  5. Regression analysis → Predict and understand relationships
  6. Real-world applications → Solve actual business & economics problems

Tools: Google Sheets (in class) + STATA (in STAT 17L) <- separate course

Let’s Get Started! 🚀

Your First Week

This Week’s Goals:

Let’s test Poll Everywhere

Write ONE word you relate with statistics

Final Thoughts

You’re about to develop one of the most valuable skill sets of the 21st century

  • Statistics isn’t just math—it’s critical thinking with numbers
  • Every successful business leader, policy maker, and researcher relies on these skills
  • You’ll leave this class seeing the world differently: questioning assumptions, demanding evidence, making better decisions

Welcome to STAT 17!

Let’s make some data-driven magic happen this quarter