\documentclass[12pt]{amsart}
\usepackage{pdflscape}
\pagestyle{empty}
\thispagestyle{empty}
\theoremstyle{plain}    
\newtheorem*{definition}{Definition}
\newtheorem*{example}{Example}
\newtheorem*{exercise}{Exercise}
\newtheorem*{conjecture}{Conjecture}
\newtheorem*{theorem}{Theorem}
\newtheorem*{lemma}{Lemma}
\newtheorem*{remark}{Remark}
\begin{document} 
\title{Computational Assignment 2}
\section{computational assignment 2}
\subsection{Overview}
\par\vspace{1 cm}
Redo problem 2 from assignment 5 using the \texttt{t.test()} function of R.  The data is stored in a comma delimited (.csv) file called \texttt{computational\_assignment2.csv}. which is linked to the website.
\par\vspace{0.3 cm}
In the process, you should:
\par\vspace{0.3 cm}
\begin{itemize}
\item Read the file using \texttt{read.csv()}  (you can find documentation for this by doing \texttt{help.start()} and clicking on the "Search Engine and Keywords" link, then entering \texttt{read.scv()} in the search argument.  Note that you can supply an entire URL for the file name if you wish, or download the .csv file first and use a filename reference.
\item Assign the output of \texttt{read.csv} to a data frame using \texttt{<-}
\item Attach the data frame to make the column names visible (the first row of the .csv file contains "x")
\item Code the \texttt{t.test()} arguments as necessary.  Enter \texttt{t.test()} in the search engine to find the help information.  Note that because there is only one data vector, you must either type \texttt{y=NULL} for the second parameter, or type two consecutive commas to use the default value, \texttt{y=NULL}. 
\item Use the \texttt{mu=} parameter to specify that the value of $\mu$ under the null hypothesis is $\mu_0=30.31$
\item Use the \texttt{alternative=} parameter to specify that the alternative hypothesis is $\mu<\mu_0$
\end{itemize}

\end{document}



