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\section{Introduction} \label{sec:introduction}
In this report we have documented a series of hypothesis tests regarding provided data in high-ranking
Tennis players. The focus of these hypotheses concerns a player's handedness with regards to overall
ranking. We first provide an overview of how we address these notions, with visualisations and
descriptions of our overall methodology. Following this, we then provide a brief discussion of what we
can infer given our statistical analysis techniques.
\section{Method} \label{sec:method}
We are testing two hypotheses. The first hypothesis that we test is that tall players have an advantage over smaller players. The second hypothesis that we test is that left-handed players have an advantage over right-handed players. To build an intuition of how the data behaves with respect to the hypotheses we are testing, we created visual representations using tools from the Matplotlib, and Seaborn libraries and then we perform statistical tests to measure these effects.
We are testing two hypotheses. The first hypothesis that we test is that tall players have an advantage
over smaller players. The second hypothesis that we test is that left-handed players have an advantage
over right-handed players. To build an intuition of how the data behaves with respect to the hypotheses
we are testing, we created visual representations using tools from the Matplotlib, and Seaborn libraries
and then we perform statistical tests to measure these effects.
\subsection{Visualisation} \label{subsec:visualisation}