	\chapter{Chapter name} 
You may have several chapters depending on your study...\\
If you need to write chemical formula, then use the following format:\\
\ch{3 H2O} \\
\ch{1/2 H2O} \\
\ch{AgCl2-} \\
\ch{H2_{(aq)}}\\

Adding sub figures could be done as follows:\\
Figure \ref{fig:caribbean} reveals clear bi-modality throughout the first 4 generations. The latest cohort shows a slight tri-modality in the main 2 modes. There's a shift of the distributions to the right as years move ahead. Seemingly, it could be assumed that this population is homogeneous (with respect to heights of the ethnic groups living) and this bi-modality may be due to the gender for the first 4 cohorts. \\
\begin{figure}[H]
	\begin{subfigure}{\textwidth}
		\centering \includegraphics[width=\textwidth, height=\textheight, keepaspectratio]{./Figures/caribbean}
	\end{subfigure}
\begin{subfigure}{\textwidth}
	\includegraphics{./Figures/timelegends}
\end{subfigure}
		\caption{\label{fig:caribbean}Density curves of Caribbean (Barbados, Bermuda) based on h\_AMISE bandwidth and epanechnikov kernel}
\end{figure}

\section{Observations in General}
\indent By plotting all 5 densities of cohort data in one plot for each region provides us with an important observation. That is, when the time goes forward, the density curves shift to the right. Which means, irrespective of the region, humans have grown taller with the time.\\
\indent In most of the regions, it could clearly be seen a bimodal shape, which we can give reasoning, that this happens due to gender discrimination. That is, a mixture of 2 gender populations. But in some cases, we can see more than 2 modes. That reveals, there are more than 2 mixtures of populations. Especially, regions which consist of countries with several ethnic groups show this feature.\\
\indent Refer Figure \ref{fig:map} which provides evidence on how the regions of the world are ethnically diversified. 

	\begin{figure}[H]
		\centering\includegraphics[width=\textwidth]{./Figures/map}
		\captionsource{\label{fig:map}A revealing map of the world’s most and least ethnically diverse countries}{\small Harvard Institute for Economic Research (2013)}
	\end{figure}

	The greener countries are more ethnically diverse and the orange countries more homogeneous. There are a few trends which could be seen right away: countries in Europe and Northeast Asia tend to be the most homogeneous, sub-Saharan African nations the most diverse. The Americas are generally somewhere in the middle. And richer countries appear more likely to be homogeneous. This provides sufficient evidence to conclude that, mixtures with more than 2 modes are non-homogeneous regions with distinct ethnic groups living in. 