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final edits to deploy edition 2
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cara.lee authored and cara.lee committed Jul 20, 2024
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4 changes: 2 additions & 2 deletions src/chap_one_percents.ptx
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<p>
Notice in the last example that Sundar's new pay was 1.15 times his old pay or an increase of 15%. He is getting 100% of his original salary plus an additional 15%.
</p>
<subsubsection>
</subsection>
<subsection>
<title>Doubling, Tripling, Etc.</title>
<p>
Now let's say the company that made $120,000 in profit the first year made $240,000 in profit in their second year. We can say their profit doubled or was two times the previous year. This is a 100% increase because they matched their original profit for 100%, and they also had an increase of 100%.
</p>
<p>
In order to triple their first year's profit they would need to make $360,000 in profit. Be precise with your wording when describing percent changes because tripling their profit is an increase of 200%.
</p>
</subsubsection>
</subsection>
<subsection>
<title>Multiple Percent Changes</title>
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1 change: 1 addition & 0 deletions src/chap_three_describing_data.ptx
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</p>
</li>
<li>
<!-- Todo: remove plot area box from this image -->
<sidebyside width="50%">
<image source="images/statistics/3_2/solution_immigration.png">
<shortdescription>There are six spaced apart bars labeled Food music and the arts, The economy in general, Social and moral values, Job opportunities for you and your family, Taxes, and Crime. The x-axis is labeled Situation and the y-axis is labeled Relative Frequency (%). Food music and the arts goes up to 57%, The economy in general goes up to 43%, Social and moral values goes up to 31%, Job opportunities for you and your family goes up to 19%, Taxes goes up to 20%, and Crime goes up to 7%.</shortdescription>
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2 changes: 1 addition & 1 deletion src/chap_three_measure_of_variation.ptx
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</sidebyside>

<p>
The standard deviation is the measure of variation that we pair with the mean for approximately symmetric distributions. This pairing should make sense because the standard deviation uses the mean in its calculation. But what about the median? What measure of variation do we pair with it?
The standard deviation is the measure of variation that we pair with the mean for approximately symmetric distributions. This pairing should make sense because the standard deviation uses the mean in its calculation. But what about the median? What measure of variation do we pair with it?
</p>
</example>
</subsection>
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73 changes: 62 additions & 11 deletions src/chap_three_review.ptx
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</p>
</li>
<li>
<sidebyside width="35%">
<tabular halign="center" top="minor" left="minor" right="minor" bottom="minor">
<row header="yes">
<cell>Min</cell>
<cell>Q1</cell>
<cell>Median</cell>
<cell>Q3</cell>
<cell>Max</cell>
</row>
<row>
<cell>$3.25</cell>
<cell>$3.75</cell>
<cell>$4.75</cell>
<cell>$5.00</cell>
<cell>$8.95</cell>
</row>
</tabular>
<!-- Replaced image with table for accessibility -->
<!-- <sidebyside width="25%">
<image source="images/statistics/3_5/review_five_num_summary.png">
<shortdescription></shortdescription>
</image>
</sidebyside>
</sidebyside> -->
</li>
<li>
<p>
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<li>
<sidebyside width="40%">
<image source="images/statistics/3_5/review_five_num_box.png">
<shortdescription></shortdescription>
<shortdescription>Boxplot using the 5-number summary above showing one outlier at $8.95</shortdescription>
</image>
</sidebyside>
</li>
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</li>
<li>
<p>
Find the median of the data. Round to one decimal place if necessary.
Find the median of the data. Round to one decimal place if necessary.
</p>
</li>
<li>
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</p>
</li>
<li>
<sidebyside width="35%">
<tabular halign="center" top="minor" left="minor" right="minor" bottom="minor">
<row header="yes">
<cell>Min</cell>
<cell>Q1</cell>
<cell>Median</cell>
<cell>Q3</cell>
<cell>Max</cell>
</row>
<row>
<cell>32</cell>
<cell>73</cell>
<cell>78</cell>
<cell>88</cell>
<cell>99</cell>
</row>
</tabular>
<!-- Replaced image with table for accessibility -->
<!-- <sidebyside width="25%">
<image source="images/statistics/3_5/review_five_num_summary2.png">
<shortdescription></shortdescription>
</image>
</sidebyside>
</sidebyside> -->
</li>
<li>
<sidebyside width="35%">
<image source="images/statistics/3_5/review_five_num_box2.png">
<shortdescription></shortdescription>
<shortdescription>A boxplot using the 5-number summary above, there are no outliers</shortdescription>
</image>
</sidebyside>
</li>
<li>
<sidebyside width="50%">
<image source="images/statistics/3_5/review_boxplot_summary2.png">
<shortdescription></shortdescription>
<shortdescription>A histogram with a bin width of 10; it shows most of the scores are 70 and above with one between 30-40. The mode is between 70-80.</shortdescription>
</image>
</sidebyside>
</li>
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</p>
</li>
<li>
<sidebyside width="35%">
<tabular halign="center" top="minor" left="minor" right="minor" bottom="minor">
<row header="yes">
<cell>Min</cell>
<cell>Q1</cell>
<cell>Median</cell>
<cell>Q3</cell>
<cell>Max</cell>
</row>
<row>
<cell>$12 thousand</cell>
<cell>$18 thousand</cell>
<cell>$26 thousand</cell>
<cell>$32 thousand</cell>
<cell>$45 thousand</cell>
</row>
</tabular>
<!-- replaced image with table for accessibility -->
<!-- <sidebyside width="35%">
<image source="images/statistics/3_5/review_five_num_summary3.png">
<shortdescription></shortdescription>
</image>
</sidebyside>
</sidebyside> -->
</li>
<li>
<p>
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<li>
<sidebyside width="40%">
<image source="images/statistics/3_5/review_five_num_box3.png">
<shortdescription></shortdescription>
<shortdescription>A boxplot using the 5-number summary above; no outliers are shown</shortdescription>
</image>
</sidebyside>
</li>
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14 changes: 7 additions & 7 deletions src/frontmatter.ptx
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</p>
<paragraphs>
<title>How to cite this book</title>
<!-- Todo: change edition number -->
<!-- Todo: change edition number and tagline. Mathematics for liberal arts majors -->
<p>
<url href="https://www.pcc.edu/math-in-society/"
visual="pcc.edu/math-in-society"><q>Math In Society: Mathematics for liberal arts majors, Edition 2.0</q></url>
visual="pcc.edu/math-in-society"><q>Math In Society, 2nd Edition: Tools for decision making</q></url>
by Lee et al., Portland Community College Math Department is licensed under
<url href="http://creativecommons.org/licenses/by-sa/4.0"
visual="creativecommons.org/licenses/by-sa/4.0">CC BY-SA 4.0</url>
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</p> -->
<!-- Edition 2 attribution -->
<p>
<xref ref="logic_problem_solving"/> is a derivative of Math in Society: Logic by David Lippman and Morgan Chase, Sets and Problem Solving by David Lippman
<xref ref="logic_problem_solving"/> is a derivative of Math in Society: Logic by David Lippman and Morgan Chase, Sets, and Problem Solving by David Lippman,
<url href="http://www.opentextbookstore.com/mathinsociety"
visual="opentextbookstore.com/mathinsociety"/>,
used under CC-BY-SA-4.0.
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<li>
<p>
<xref ref="chap_five_apportionment"/> is a derivative of Math in Society: Apportionment and
<xref ref="chap_five_voting_methods"/> is a derivative of Math in Society: Voting Theory by David Lippman,
<xref ref="chap_five_voting_methods"/> is a derivative of Math in Society: Voting Theory by David Lippman,
<url href="http://www.opentextbookstore.com/mathinsociety"
visual="opentextbookstore.com/mathinsociety"/>,
used under CC-BY-SA 4.0.
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This book is available for free in html and pdf form at
<url href="http://www.pcc.edu/math-in-society"
visual="pcc.edu/math-in-society"/>.
Edition 2, Chapters 1<ndash/>5 are available at the PCC bookstore printed by the PCC Print Center.
The 2nd Edition, Chapters 1<ndash/>5 are available at the PCC bookstore printed by the PCC Print Center.
</p>
</paragraphs>
<paragraphs>
<title>Additional Topics</title>
<p>
Your course may include one or more instructor choice topics which are available
online only from the website above, or from David Lippman's original book at
online only from the website above, or from David Lippman's original book at
<url href="http://www.opentextbookstore.com/mathinsociety"
visual="opentextbookstore.com/mathinsociety"/>.
</p>
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<paragraphs>
<title>Online Homework</title>
<p>
Online homework problems are available for free at
Online homework problems are available for free at
<url href="https://www.myopenmath.com/" visual="myopenmath.com"/>.
</p>
</paragraphs>
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