How deeply does Causal Inference for Data Science cover hypothesis?

Defines the experimental role of a hypothesis and sketches design, execution, and analysis while deferring detailed explanation.

Hypothesis

As explained in Causal Inference for Data Science

A testable proposition about a causal relationship between an intervention and an outcome.

A hypothesis is a testable cause-and-effect proposition linking an intervention or decision to a primary outcome. It gives an experiment a focused question: what change should affect what result? section 1.3.4

Use a hypothesis to structure an A/B test:

State the proposed relationship between treatment and outcome. section 1.3.4
Design the experiment, accounting for context-specific rules and ethical concerns. section 1.3.4
Execute the experiment carefully, especially the randomization process, then compare group responses. section 1.3.4

Testing a new treatment

A starting hypothesis may claim that a new disease treatment works just as well as the old one. If the new treatment is superior, experimental evidence should refute that claim. Patient outcomes such as 80% improving with the new treatment versus 70% with the old treatment provide the observed comparison. section 1.3.4

How Causal Inference for Data Science covers it

Cover of Causal Inference for Data Science

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Also explained in

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Cyber Threat HuntingA hypothesis is a proposition consistent with known data that has not yet been verified or shown to be false.
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Grokking StatisticsA hypothesis is a proposed explanation or relationship that can be evaluated with evidence.
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Effective Data AnalysisA hypothesis is a testable proposition about a population, relationship, or data-generating process.
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Statistics Slam DunkA hypothesis is a stated proposition about a population, process, or relationship that can be evaluated with evidence.
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The Art of AI Product DevelopmentA hypothesis is a provisional, testable proposition about a product change, user behavior, or expected outcome.
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The Well-Grounded Data AnalystA hypothesis is a specific, testable proposition about a relationship or difference in a domain.
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Sutskever's ListA hypothesis is a proposed explanation or generative process whose plausibility is evaluated against observed data.
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Machine Learning System DesignA hypothesis is a testable proposition about an expected relationship or effect in an experiment.

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Related concepts

alternative hypothesisincludes · An alternative hypothesis is a statistical proposition that contrasts with the null hypothesis by asserting an effect, difference, relationship, or other departure.
null hypothesisincludes · A null hypothesis is a designated baseline statistical claim, typically asserting that an effect, difference, or association is absent.
threat huntingused by · Threat hunting is the proactive investigation of systems and networks to discover malicious activity that automated detection may have missed.
threat-hunting playpart of · A repeatable operational procedure for conducting a particular threat hunt and recording its investigative scope and logic.
red-teaminguses · Red-teaming is an adversarial assessment practice that deliberately simulates attacks or uses challenging inputs to identify a system’s vulnerabilities, failures, or unsafe behavior.

This explainer was generated by Manning's knowledge graph from the text of Causal Inference for Data Science. The section links point to the parts of the book it draws on.