@@ -88,8 +88,12 @@ <h2>The data</h2>
<pre class="sourceCode r"><code class="sourceCode r">population &lt;-<span class="st"> </span>ames$Gr.Liv.Area
samp &lt;-<span class="st"> </span><span class="kw">sample</span>(population, <span class="dv">60</span>)</code></pre>
<ol style="list-style-type: decimal">
<li><p>Describe the distribution of your sample. What would you say is the “typical” size within your sample? Also state precisely what you interpreted “typical” to mean.</p></li>
<li><p>Would you expect another student’s distribution to be identical to yours? Would you expect it to be similar? Why or why not?</p></li>
<li><p>Describe the distribution of your sample. What would you say is the “typical” size within your sample? Also state precisely what you interpreted “typical” to mean.</p>
<p>With a sample that isn’t normal or has outliers, the median is a more accurate middle than the mean. The median in this case is 1481.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">hist</span>(samp)</code></pre>
<p><img src="data:image/png;base64,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" title alt width="672" /></p></li>
<li><p>Would you expect another student’s distribution to be identical to yours? Would you expect it to be similar? Why or why not?</p>
<p>The chances of another student’s distribution being identical to mine are nearly zero. However, the median should be fairly similar, but not necessarily exactly the same.</p></li>
</ol>
</div>
<div id="confidence-intervals" class="section level2">