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\usepackage[lcgreekalpha]{stix}
\usepackage[T1]{fontenc}
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%\usepackage[varqu,varl]{zi4}% inconsolata
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\def\Pr{\ensuremath{\mathbb{P}}}
\def\d{\mathrm{d}}
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\begin{description}
\item[Package name:] {\tt stix} (STIX)
\item[Derived from:] Times
\item[Weights and shapes:]  \{m, b\}, \{n, it\}. 
\item[Features:]{\color{white}x}\\[-15pt]  
\begin{itemize}
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full set of f-ligatures;
\item No \textsc{Small Caps}---better to use another Times package for text;
\item monospaced lining figures $0123456789$;
\item taboldstyle (monospaced) figures \textzerooldstyle\textoneoldstyle\texttwooldstyle\textthreeoldstyle\textfouroldstyle\textfiveoldstyle\textsixoldstyle\textsevenoldstyle\texteightoldstyle\textnineoldstyle\ are available only through {\tt textcomp} commands;
\item vast number of math glyphs available, but not all are accessible using \LaTeX. 
%\item full set of {\tt textcomp} glyphs; 
%\item \verb|\textcircled| macro: Eg, \verb|\textcircled{A}| gives \textcircled{A}. (Must load {\tt textcomp} with {\tt full} option.)
%\item Tall ascenders, overarching f, calligraphic appearance. 
\end{itemize}
\item[Typical invocation:]{\color{white}x}
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\usepackage[lcgreekalpha]{stix} %[notext], and load another package for text?
\usepackage{textcomp}
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\item[Example using this preamble:]{\color{white}x}\\[6pt]
\lipsum[1]
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\def\Pr{\ensuremath{\mathbb{P}}}
\def\d{\mathrm{d}}
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The typeset math below follows the ISO recommendations that only variables
be set in italic. Note the use of upright shapes for $\d$, $\mathrm{e}$
and $\mathrm{\pi}$. (The first two are entered as \verb|\mathrm{d}| and
\verb|\mathrm{e}|, and in fonts derived from STIX,
 the latter is entered as \verb|\mathrm{\pi}|, which works only if you set the option {\tt lcgreekalpha}, which makes lower case Greek letters respond to alphabet changes such as \verb|\mathrm| and \verb|\mathbf|.)

\textbf{Simplest form of the \textit{Central Limit Theorem}:} \textit{Let
$X_1$, $X_2,\cdots$ be a sequence of iid random variables with mean~$0$ 
and variance $1$ on a probability space $(\Omega,\mathscr{F},\Pr)$. Then}
\[\Pr\left(\frac{X_1+\cdots+X_n}{\sqrt{n}}\le y\right)\to\mathfrak{N}(y)\coloneq
\int_{-\infty}^y \frac{\mathrm{e}^{-t^2/2}}{\sqrt{2\mathrm{\pi}}}\,
\mathrm{d}t\quad\mbox{as $n\to\infty$,}\]
\textit{or, equivalently, letting} $S_n\coloneq\sum_1^n X_k$,
\[\mathbb{E} f\left(S_n/\sqrt{n}\right)\to \int_{-\infty}^\infty f(t)
\frac{\mathrm{e}^{-t^2/2}}{\sqrt{2\mathrm{\pi}}}\,\mathrm{d}t
\quad\mbox{as $n\to\infty$, for every $f\in\mathrm{b}
\mathscr{C}(\mathbb{R})$.}\]
\end{description}
\end{document}  
