Dekker1/ResearchMethods
Archived
1
0
Fork 0
Code

Update week7.tex

Browse Source
This commit is contained in:
Nougati 2018-05-04 16:56:07 +10:00 committed by GitHub
parent daf9900c99
commit a23b4080d0
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 11 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
wk7/week7.tex
View File

@ -23,9 +23,19 @@
\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}