1
From: "Human Potential & Development."
Split Justification: Development fundamentally involves both our inner landscape (**Internal World**) and our interaction with everything outside us (**External World**). (Ref: Subject-Object Distinction)..
2
From: "Internal World (The Self)"
Split Justification: The Internal World involves both mental processes (**Cognitive Sphere**) and physical experiences (**Somatic Sphere**). (Ref: Mind-Body Distinction)
3
From: "Cognitive Sphere"
Split Justification: Cognition operates via deliberate, logical steps (**Analytical Processing**) and faster, intuitive pattern-matching (**Intuitive/Associative Processing**). (Ref: Dual Process Theory)
4
From: "Analytical Processing"
Split Justification: Analytical thought engages distinct symbolic systems: abstract logic and mathematics (**Quantitative/Logical Reasoning**) versus structured language (**Linguistic/Verbal Reasoning**).
5
From: "Quantitative/Logical Reasoning"
Split Justification: Logical reasoning can be strictly formal following rules of inference (**Deductive Proof**) or drawing general conclusions from specific examples (**Inductive Reasoning Case Study**). (L5 Split)
6
From: "Inductive Reasoning Case Study"
Split Justification: Induction involves forming general rules (**Hypothesis Generation**) and testing their predictive power (**Hypothesis Testing**). (L6 Split)
7
From: "Hypothesis Generation"
Split Justification: Generating a hypothesis requires identifying a pattern (**Observing Correlations**) and formulating a testable explanation (**Stating a Falsifiable Claim**).
8
From: "Stating a Falsifiable Claim"
Split Justification: This dichotomy distinguishes between claims that assert a specific outcome based on given conditions and claims that assert a universal property or relationship for an entire category, both being fundamental forms of falsifiable statements.
9
From: "Stating a Conditional Prediction"
Split Justification: This dichotomy distinguishes between conditional predictions where a specific outcome is expected to occur with absolute certainty given the condition, and those where an outcome is expected with a specified probability or likelihood. This covers all ways a conditional prediction can be formulated in logical and scientific contexts.
10
From: "Stating a Probabilistic Conditional Prediction"
Split Justification: This split differentiates the source and nature of the probability (P) being stated in the prediction "If X, then Y with probability P." Subjective probability reflects a degree of belief or confidence, often based on personal assessment or expert judgment. Objective probability is derived from observable frequencies, logical deduction, or physical properties of the system. These two categories are mutually exclusive in their primary basis and comprehensively cover how probabilities are conceived and stated.
11
From: "Stating an Objective Probabilistic Conditional Prediction"
Split Justification: This dichotomy distinguishes between the two primary methodologies for establishing an objective probabilistic conditional prediction. The former bases the probability on observed frequencies, statistical inference from empirical data, or experimental results. The latter bases the probability on abstract models, mathematical principles, or deductive reasoning from established theories. Both are objective, probabilistic, and conditional, but they originate from fundamentally different types of evidence or reasoning.
12
From: "Objective Probabilistic Conditional Prediction Derived Empirically"
Split Justification: This split differentiates between the two primary ways an objective, probabilistic conditional prediction can be derived empirically. One method involves directly calculating probabilities from the observed frequencies of past events or data patterns. The other method involves building a statistical or machine learning model based on empirical data, and then using that inferred model to generate the probabilistic prediction. These two approaches are mutually exclusive in their derivation method and comprehensively cover how such predictions are empirically established.
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Topic: "Objective Probabilistic Conditional Prediction Derived from Statistical Inference" (W6991)