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<h1 class="title toc-ignore">Exercises</h1>
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<p> </p>
<p>These exercises will help gauge your understanding of the material
covered during this course. Each exercise contains a series of questions
which will help reinforce statistical theory, how to implement this
theory in R and also take you through a typical workflow when asking and
answering research questions with your data.</p>
<p>Whilst working through the exercises we recommend that you create a
new R script for each exercise in an RStudio project. Make sure you
include plenty of comments and notes to yourself for future reference,
or, perhaps even better, include your code and commentary in an R
markdown document. Of course, how you want to work is entirely up to
you!</p>
<p>During each exercise you will be working in a synchronous session on
Blackboard collaborate where you will be able to ask questions and get
one-to-one help from the course instructors. Towards the end of each
session, one of the instructors will go through each exercise with you
in real time to help clear up any lingering doubts and also provide you
with an opportunity to discuss analytical decisions.</p>
<p>You can check the <a href="exercise_solutions.html"
target="_blank">solutions to the exercises</a> after each of our
synchronous sessions.</p>
<p>Have fun!</p>
<p> </p>
<div id="day-2" class="section level3">
<h3>Day 2</h3>
<ul>
<li><a href="GLM_1_Poisson_exercise.html">Poisson GLM exercise</a></li>
</ul>
<p> </p>
</div>
<div id="day-3" class="section level3">
<h3>Day 3</h3>
<ul>
<li><a href="GLM_2_Binomial_exercise.html">Binomial GLM
exercise</a></li>
</ul>
<p> </p>
</div>
<div id="day-4" class="section level3">
<h3>Day 4</h3>
<ul>
<li><a href="GLM_3_Bernoulli_exercise.html">Bernoulli GLM
exercise</a></li>
</ul>
<p> </p>
</div>
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