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<h1>Seeing Theory</h1>
<p >A visual introduction to probability and statistics.</p>
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<h1>Basic Probability</h1>
<p>This chapter is an introduction to the basic concepts of probability theory.</p>
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<h1>Compound Probability</h1>
<p>This chapter discusses further concepts that lie at the core of probability theory.</p>
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<h1>Probability Distributions</h1>
<p>A probability distribution specifies the relative likelihoods of all possible outcomes.</p>
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<h1>Frequentist Inference</h1>
<p>Frequentist inference is the process of determining properties of an underlying distribution via the observation of data.</p>
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<h1>Bayesian Inference</h1>
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<h4>Chapter 6</h4>
<h1>Regression Analysis</h1>
<p>Regression Analysis is an approach for modeling the linear relationship between two variables.</p>
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<P>
Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library <a href="https://d3js.org/" style="color:#64bdff; text-decoration: underline;">D3.js</a>).</br>
</P>
</br>
<p>The Team</p>
<div class="team">
<a href="http://daniel-kunin.com/">
<img src="img/team/daniel.png">
<p>Daniel</br> Kunin</p>
</a>
</div>
<div class="team">
<a href="http://www.jingru-guo.com">
<img src="img/team/jingru.png">
<p>Jingru</br>Guo</p>
</a>
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<div class="team">
<a href="https://www.linkedin.com/in/tyler-dae-devlin/">
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<p>Tyler</br> Dae Devlin</p>
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</div>
<div class="team">
<a href="https://math.stackexchange.com/users/303759/daniel-xiang">
<img src="img/team/dan-xiang.jpg">
<p>Daniel</br> Xiang</p>
</a>
</div>
<p>Awards & Press</p>
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<p>
We are currently working on a textbook for Seeing Theory. Download a draft of our pdf below. You can provide feedback on our writing <a href="http://seeingtheory.civicomment.org/seeing-theory-notes" style="color:#64bdff; text-decoration: underline;">here</a>.
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