hw

atom.xml

@@ -4,7 +4,7 @@
  <title>FLOW Lab</title>
  <link href="http://flow.byu.edu/atom.xml" rel="self"/>
  <link href="http://flow.byu.edu/"/>
- <updated>2024-11-13T19:22:19-07:00</updated>
+ <updated>2024-11-14T23:12:14-07:00</updated>
  <id>http://flow.byu.edu</id>
  <author>
    <name>Andrew Ning</name>

feed.xml

@@ -1 +1 @@
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type="html"><![CDATA[]]></summary></entry><entry><title type="html">FLOWUnsteady in Google Drive</title><link href="http://flow.byu.edu/posts/google-drive-vpm" rel="alternate" type="text/html" title="FLOWUnsteady in Google Drive" /><published>2020-08-02T00:00:00-06:00</published><updated>2020-08-02T00:00:00-06:00</updated><id>http://flow.byu.edu/posts/google-drive-vpm</id><content type="html" xml:base="http://flow.byu.edu/posts/google-drive-vpm"><![CDATA[<iframe src="https://www.linkedin.com/embed/feed/update/urn:li:share:6689003185174118400" height="1094" width="504" frameborder="0" allowfullscreen="" title="Embedded post"></iframe>]]></content><author><name>Eduardo Alvarez</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.4">Jekyll</generator><link href="http://flow.byu.edu/feed.xml" rel="self" type="application/atom+xml" /><link href="http://flow.byu.edu/" rel="alternate" type="text/html" /><updated>2024-11-14T23:12:14-07:00</updated><id>http://flow.byu.edu/feed.xml</id><title type="html">FLOW Lab</title><subtitle>Flight, Optimization, and Wind Laboratory</subtitle><author><name>Andrew Ning</name></author><entry><title type="html">Optimization Book Available</title><link href="http://flow.byu.edu/posts/opt-book" rel="alternate" type="text/html" title="Optimization Book Available" /><published>2021-10-15T00:00:00-06:00</published><updated>2021-10-15T00:00:00-06:00</updated><id>http://flow.byu.edu/posts/opt-book</id><content type="html" xml:base="http://flow.byu.edu/posts/opt-book"><![CDATA[<iframe 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Ning</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">PJ Defense</title><link href="http://flow.byu.edu/posts/pj-defense" rel="alternate" type="text/html" title="PJ Defense" /><published>2020-09-30T00:00:00-06:00</published><updated>2020-09-30T00:00:00-06:00</updated><id>http://flow.byu.edu/posts/pj-defense</id><content type="html" xml:base="http://flow.byu.edu/posts/pj-defense"><![CDATA[<iframe src="https://www.linkedin.com/embed/feed/update/urn:li:share:6714312529692237824" height="641" width="504" frameborder="0" allowfullscreen="" title="Embedded post"></iframe>]]></content><author><name>Andrew Ning</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">VPM Paper</title><link href="http://flow.byu.edu/posts/vpm-paper" rel="alternate" type="text/html" title="VPM Paper" 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type="html"><![CDATA[]]></summary></entry><entry><title type="html">FLOWUnsteady in Google Drive</title><link href="http://flow.byu.edu/posts/google-drive-vpm" rel="alternate" type="text/html" title="FLOWUnsteady in Google Drive" /><published>2020-08-02T00:00:00-06:00</published><updated>2020-08-02T00:00:00-06:00</updated><id>http://flow.byu.edu/posts/google-drive-vpm</id><content type="html" xml:base="http://flow.byu.edu/posts/google-drive-vpm"><![CDATA[<iframe src="https://www.linkedin.com/embed/feed/update/urn:li:share:6689003185174118400" height="1094" width="504" frameborder="0" allowfullscreen="" title="Embedded post"></iframe>]]></content><author><name>Eduardo Alvarez</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>

me275/schedule/hw10.md

@@ -0,0 +1,5 @@
+1. The file [osteoporosis.csv] contains information about individuals with and without osteoporosis and can be used to predict whether or not someone is at risk for osteoporosis based on their lifestyle. Assuming the data represents a simple random sample, find the 99% confidence interval for the proportion of individuals that have osteoporosis.
+
+1. You are conducting research on the tensile strength of titanium. You perform tensile tests on 10 samples and obtain the following tensile strengths in ksi: [34.5 35.3 33.8 35.8 37.0 37.5 35.6 34.4 33.2 38.0]
+First, you must verify that using the Student’s t Distribution is appropriate for this data set. This can be done quickly by graphing the data to check if the distribution is approximately normal and if there are any outliers. Generate a box plot of the data.
+For your research, you need to determine the average tensile strength of titanium. Estimate the average tensile strength along with the 95% confidence interval.