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jbryer · Jan 25, 2020 · 334d23c · 334d23c
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diff --git a/content/assignments/_index.md b/content/assignments/_index.md
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diff --git a/content/chapters/_index.md b/content/chapters/_index.md
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diff --git a/content/course-overview/_index.md b/content/course-overview/_index.md
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diff --git a/content/post/2020-01-29-random_numbers_and_seeds.html b/content/post/2020-01-29-random_numbers_and_seeds.html
@@ -11,9 +11,9 @@
 
 <p>To explore how R generates randome numbers, we will use the <code>rnorm</code> function. This function draws a random number from a normal distribution with a mean = 0 and standard deviation = 1 (though these can be changed with the <code>mean</code> and <code>sd</code> parameters). With <code>n = 1</code> we will get two random numbers.</p>
 <pre class="r"><code>rnorm(n = 1)</code></pre>
-<pre><code>## [1] 1.152973</code></pre>
+<pre><code>## [1] -0.3792726</code></pre>
 <pre class="r"><code>rnorm(n = 1)</code></pre>
-<pre><code>## [1] -0.6358116</code></pre>
+<pre><code>## [1] -1.147968</code></pre>
 <p>Each time you run the command you will get a different number. The <code>set.seed</code> function will sets a seed to the random number generator so that each subsequent run will produce the same number.</p>
 <pre class="r"><code>set.seed(2112); rnorm(n = 1)</code></pre>
 <pre><code>## [1] 0.9243372</code></pre>

diff --git a/content/post/_index.md b/content/post/_index.md
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diff --git a/docs/DATA606.ics b/docs/DATA606.ics
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 UID:2020-01-29 20:30:002020-01-29 21:30:00
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 SUMMARY:Intro to Data
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 SUMMARY:Summarizing Data
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 UID:2020-02-12 20:30:002020-02-12 21:30:00
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 SUMMARY:Probability
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 UID:2020-02-19 20:30:002020-02-19 21:30:00
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 SUMMARY:Distributions Part I
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 SUMMARY:Distributions Part II
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 UID:2020-03-04 20:30:002020-03-04 21:30:00
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 SUMMARY:Foundation for Inference
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 SUMMARY:Inference for Categorical Data
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 SUMMARY:Inference for Numerical Data
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 DTSTART:20200325T203000
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 UID:2020-03-25 20:30:002020-03-25 21:30:00
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 SUMMARY:Linear Regression
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 SUMMARY:Linear Regression
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 SUMMARY:Multiple Regression
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 SUMMARY:Logistic Regression
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 UID:2020-05-06 20:30:002020-05-06 21:30:00
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 SUMMARY:Intro to Bayesian Analysis
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 SUMMARY:Wrap-Up

diff --git a/docs/assignments/homework/index.html b/docs/assignments/homework/index.html
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