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      <title>Module 11 by Susan Rubel</title>
      <link>https://padlet.com/sd54/u4bc6rbium35</link>
      <description>How do you compare data modeled by a pair of box plots?</description>
      <language>en-us</language>
      <pubDate>2019-02-06 14:42:24 UTC</pubDate>
      <lastBuildDate>2024-03-26 18:58:57 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title></title>
         <author>1402351</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274366</link>
         <description><![CDATA[<div>you can compare them by looking at the interquartile range and by looking at the spread of the data. by looking at the spread of the data you can determine if the size of the quartiles and whiskers of the box plots. you can compare the mean and medians. </div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:08 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274366</guid>
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      <item>
         <title>How to compare data modeled in a box plot </title>
         <author>1407131</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274445</link>
         <description><![CDATA[<div>You should first look at the shape of both box plots. You should look at the box and whiskers of both box plots and compare their lengths. For example, both of the right whiskers on the data plots are longer than the left one. Another way is to compare the centers of the box plots by looking at the median, or the dot with a line through it in the middle of the box. For example, if group A's median is 3 and group B had a median of 5, group B has a larger median, which is a comparison.</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:14 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274445</guid>
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         <title></title>
         <author>1417162</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274446</link>
         <description><![CDATA[<div>there are many ways<br> you can compare the spread<br>you can compare the range<br>you can compare the medians <br>you can compare the shapes<br>you can compare its variability<br>you can compare the interquartile range<br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:14 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274446</guid>
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      <item>
         <title></title>
         <author>156861</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274511</link>
         <description><![CDATA[<div>You can figure out the mean, median, mode, range and so on of the box plots and compare it with the other box plot to see which has a greater or lesser average and with the median you can find out the middle value or where the 50% mark is. By figuring out what the mean of the two box plots are you can find out which has a higher average. Also, by comparing the maximum and minimum you can see haw far the spread of each</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:18 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274511</guid>
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      <item>
         <title>The plot comparison</title>
         <author>1403601</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274526</link>
         <description><![CDATA[<div>You can find the spread and compare it, you can compare the median or mean or you can compare the lower and upper quartile. You can also compare the mode.</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:20 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274526</guid>
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      <item>
         <title></title>
         <author>156910</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274560</link>
         <description><![CDATA[<div>You can compare box plots by the size of the box, or the IQR, to find which box is more varied. You can also compare the ranges of the box and whiskers and see which is one more varied that way. You can also compare the median, or the center of the box plots and see which one is bigger. </div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:22 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274560</guid>
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      <item>
         <title></title>
         <author>151780</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274725</link>
         <description><![CDATA[<div>You can compare data using box plots by putting them side by side. By doing this you can compare data easily, such as, the length of how much something jumped. Or, how much a company sold during the last how many ever days. You can see which one is doing better or worse. By looking at both of the interquartile ranges  you can see the average range of how many are usually sold or how far someone can jump. You get a range for something that would be considered normal. Looking at the whiskers can show how much you better or worse you can get. The median gives you a type of base to show what is below expectancy and what is higher. </div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:36 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274725</guid>
      </item>
      <item>
         <title> Box Plot Comparison </title>
         <author>1502291</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274740</link>
         <description><![CDATA[<div>There are multiple ways to compare a pair of box and whisker plots.  You  can compare the shapes , the lower quartile , the median, The upper quartile , </div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:37 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274740</guid>
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      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274892</link>
         <description><![CDATA[<div>One way to compare data using box plots is to compare them by their by there shape. You could say that they look almost the same or one of them is longer than the other, meaning they have a bigger maximum or minimum. Another way to compare them is by their center or median. If you notice that one box plot has a bigger median/center than the other one it means that the median thing is blank bigger than the other thing. The last thing you could compare it by is by the spread. You could find the IQR or the interquartile range.</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:44 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274892</guid>
      </item>
      <item>
         <title>How to compare data</title>
         <author>1505291</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328274897</link>
         <description><![CDATA[<div>To compare data modeled by box plots, you look at the "dots". To clarify, to compare the spreads you can look at the ends of the whiskers. Furthermore, the whiskers will tell you the greatest and least values in the data. To compare the centers you look at the middle dot in the box with a vertical line through it. That represents the median, or the middle number. By looking at that you can see how much of the data is greater than the median and how much is less than the middle point. Lastly, to conclude you can look at the shape of the box plot to see if its evenly spread or if there is a outlier.  Therefor, this is how you compare the data.</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:50:45 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328274897</guid>
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      <item>
         <title></title>
         <author>1450592</author>
         <link>https://padlet.com/sd54/u4bc6rbium35/wish/328275179</link>
         <description><![CDATA[<div>You can compare the median, lower quartile, upper quartile, least value, and greatest value. Another type of way to compare them is by their shape, center, and spread. You can look in the variability of different parts of the box plot, too.</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-02-06 14:51:07 UTC</pubDate>
         <guid>https://padlet.com/sd54/u4bc6rbium35/wish/328275179</guid>
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