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20 Jul
C207 - Data-Driven Decision Making

Correlation vs. Regression: When to Use Which

  • July 20, 2026
  • By author-avatar Employed Scholar Team
Correlation vs. Regression: When to Use Which Plain-Language Definition Correlation measures whether two variables move together, a...

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The Davenport-Kim Three-Stage Decision Model
20 Jul
C207 - Data-Driven Decision Making

The Davenport-Kim Three-Stage Decision Model

  • July 20, 2026
  • By author-avatar Employed Scholar Team
The Davenport-Kim Three-Stage Decision Model Plain-Language Definition The Davenport-Kim model, developed by Thomas Davenport and Jin...

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Expected Value: How to Calculate and Interpret It
20 Jul
C207 - Data-Driven Decision Making

Expected Value: How to Calculate and Interpret It

  • July 20, 2026
  • By author-avatar Employed Scholar Team
Expected Value: How to Calculate and Interpret It Plain-Language Definition Expected value is a probability-weighted average of pos...

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What Is Hypothesis Testing?
20 Jul
C207 - Data-Driven Decision Making

What Is Hypothesis Testing? (In Plain Language)

  • July 20, 2026
  • By author-avatar Employed Scholar Team
What Is Hypothesis Testing? Plain-Language Definition Hypothesis testing is a structured way of asking "is this pattern in my data ...

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Understanding P-Values Without the Jargon
20 Jul
C207 - Data-Driven Decision Making

Understanding P-Values Without the Jargon

  • July 20, 2026
  • By author-avatar Employed Scholar Team
Understanding P-Values Plain-Language Definition A p-value answers a narrow, specific question: if there were actually no real re...

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Descriptive vs. Inferential Statistics
20 Jul
C207 - Data-Driven Decision Making

Descriptive vs. Inferential Statistics: What’s the Difference?

  • July 20, 2026
  • By author-avatar Employed Scholar Team
Descriptive vs. Inferential Statistics Plain-Language Definition Descriptive statistics summarize the data you actually have — aver...

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