Stat 1430 Outline
This page summarizes the major units, topics, and suggested OpenStax readings for Stat 1430 – Statistics for the Business Sciences.
Unit 1 — Data & Descriptive Statistics
- Data, sampling, and observational studies
- Observational studies vs. experiments
- Graphing and summarizing data (numerical and graphical summaries)
- Correlation and simple linear regression
Unit 2 — Probability Theory
- Two-way tables and basic probability
- Joint, marginal, and conditional probabilities
- Independence
- Bayes’ Rule
Unit 3 — Random Variables
- Discrete random variables and their distributions
- Expected value and standard deviation
- Continuous random variables and density curves
- Normal distribution and z-scores
Unit 4 — Sampling Distributions
- Sampling distribution of the sample mean (x̄)
- Sampling distribution of the sample proportion (p̂)
- Central Limit Theorem
Unit 5 — Inferential Statistics
- Confidence intervals for μ and p
- Hypothesis tests for μ and p
- t-distribution and inference when σ is unknown
- Connecting interpretations back to real-world business decisions
STAT 1430 Topics & OpenStax Sections
These OpenStax sections are suggested free readings that align with the main course topics. Links open in a new tab.
| STAT 1430 Topic | OpenStax Sections |
|---|---|
| Data, Sampling, Observational Studies |
Introductory Business Statistics:
1.1–1.6
Introductory Statistics: 1.1–1.4 |
| Observational Studies & Experiments |
Business Stats:
1.4
Statistics: 1.3–1.4 |
| Graphing & Summarizing Data |
Business Stats:
2.1–2.6
Statistics: 2.1–2.8 , 3.1–3.3 |
| Correlation & Linear Regression |
Business Stats:
12.1–12.3
Statistics: 13.1–13.3 |
| Two-Way Tables & Basic Probability |
Business Stats:
3.1–3.3
Statistics: 3.1–3.4 , 4.1–4.2 |
| Conditional Probability & Independence |
Business Stats:
3.3
Statistics: 4.2–4.3 |
| Bayes’ Rule |
Business Stats:
3.4
Statistics: 4.4 |
| Discrete Random Variables |
Business Stats:
4.1–4.3
Statistics: 5.1–5.3 |
| Continuous Random Variables & Normal Distribution |
Business Stats:
5.1–5.3
Statistics: 6.1–6.5 |
| Sampling Distributions of x̄ and p̂ |
Business Stats:
7.1–7.4
Statistics: 7.1–7.4 |
| Confidence Intervals for μ and p |
Business Stats:
8.1–8.4
Statistics: 8.1–8.4 |
| Hypothesis Testing for μ and p |
Business Stats:
9.1–9.4
Statistics: 9.1–9.5 |
| t-Distribution (σ unknown) |
Business Stats:
9.5–9.6
Statistics: 9.6 |