I am writing some True and False for examination. There is a minor issue with the code that I am using. The issue is when the number of questions exceeds 9, the alignment of question statement changes. I need that all of the questions are in same alignment level. The code I used is from someone's solution that I don't remember. Perhaps may be one of them, solution 1, solution 2, and solution 3
A short working example is
\documentclass[10pt,a4paper]{exam}
%%%%%%%%%%% TRUE or FALSE %%%%%%%%%%%%%
\newcommand*\TrueFalse{TRUE\hspace*{8pt} FALSE\hspace*{8pt}}
\newlength\mylena
\newlength\mylenb
\settowidth\mylena{\TrueFalse}
\newcommand\TF[1]{%
\setlength\mylenb{\linewidth}
\addtolength\mylenb{-\mylena}
\parbox[t]{\mylena}{\TrueFalse}\parbox[t]{\mylenb}{#1}}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}
\begin{questions}
\question\TF{The types of statistical inferences are estimation of parameters and testing of hypotheses.}
\question\TF{The types of statistical estimation of parameters are point estimation and interval estimation.}
\question\TF{Point estimators may be more useful than interval estimators because probability statements are attached to point estimates.}
\question\TF{The types of statistical inferences are an estimation of parameters and testing of hypotheses.}
\question\TF{The types of statistical estimation of parameters are point estimation and interval estimation.}
\question\TF{Point estimators may be more useful than interval estimators because probability statements are attached to point estimates.}
\question\TF{The types of statistical inferences are an estimation of parameters and testing of hypotheses.}
\question\TF{The types of statistical estimation of parameters are point estimation and interval estimation.}
\question\TF{Point estimators may be more useful than interval estimators because probability statements are attached to point estimates.}
\question\TF{The types of statistical inferences are an estimation of parameters and testing of hypotheses.}
\question\TF{The types of statistical estimation of parameters are point estimation and interval estimation.}
\question\TF{Point estimators may be more useful than interval estimators because probability statements are attached to point estimates.}
\end{questions}
\end{document}