Read the equation
Here α=0.05 denotes the manuscript’s nominal statistical threshold. This α is distinct from the α coefficient in its differential equation. A threshold choice does not correct for dependence, selection effects, or an unvalidated measurement definition.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| α | Nominal significance level in this statistical section |
How it works
Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Read the surrounding source passage
\textbf{Consciousness Jump Analysis:}
\begin{itemize}
\item Test: Welch's two-sample t-test (unequal variances)
\item Effect size: Cohen's $d = (\mu_2 - \mu_1) / s_{pooled}$
\item Significance threshold: $\alpha = 0.05$ (two-tailed)
\end{itemize}
\textbf{Stability Analysis:}
\begin{itemize}
\item Descriptive statistics: mean, SD, min, max, range
\item Trend test: Mann-Kendall for monotonic trend
\item Stationarity: Augmented Dickey-Fuller testExact original notation
\alpha = 0.05