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      <title> by Mikayla Wellman</title>
      <link>https://padlet.com/Mikayla14/gy8dlyyh9bed</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2014-10-29 16:35:09 UTC</pubDate>
      <lastBuildDate>2026-01-02 20:01:42 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>The Data:</title>
         <author>Mikayla14</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39047006</link>
         <description><![CDATA[<pre><b>City			JanTemp	Lat	Long
</b>Mobile, AL		44	31.2	88.5
Montgomery, AL		38	32.9	86.8
Phoenix, AZ		35	33.6	112.5
Little Rock, AR		31	35.4	92.8
Los Angeles, CA		47	34.3	118.7
San Francisco, CA	42	38.4	123.0
Denver, CO		15	40.7	105.3
New Haven, CT		22	41.7	73.4
Wilmington, DE		26	40.5	76.3
Washington, DC		30	39.7	77.5
Jacksonville, FL	45	31.0	82.3
Key West, FL		65	25.0	82.0
Miami, FL		58	26.3	80.7
Atlanta, GA		37	33.9	85.0
Boise, ID		22	43.7	117.1
Chicago, IL		19	42.3	88.0
Indianapolis, IN	21	39.8	86.9
Des Moines, IA		11	41.8	93.6
Wichita, KS		22	38.1	97.6
Louisville, KY		27	39.0	86.5
New Orleans, LA		45	30.8	90.2
Portland, ME		12	44.2	70.5
Baltimore, MD		25	39.7	77.3
Boston, MA		23	42.7	71.4
Detroit, MI		21	43.1	83.9
Minneapolis, MN		2	45.9	93.9
St. Louis, MO		24	39.3	90.5
Helena, MT		8	47.1	112.4
Omaha, NE		13	41.9	96.1
Concord, NH		11	43.5	71.9
Atlantic City, NJ	27	39.8	75.3
Albuquerque, NM		24	35.1	106.7
Albany, NY		14	42.6	73.7
New York, NY		27	40.8	74.6
Charlotte, NC		34	35.9	81.5
Raleigh, NC		31	36.4	78.9
Bismarck, ND		0	47.1	101.0
Cincinnati, OH		26	39.2	85.0
Cleveland, OH		21	42.3	82.5
Oklahoma City, OK	28	35.9	97.5
Portland, OR		33	45.6	123.2
Harrisburg, PA		24	40.9	77.8
Philadelphia, PA	24	40.9	75.5
Charleston, SC		38	33.3	80.8
Nashville, TN		31	36.7	87.6
Amarillo, TX		24	35.6	101.9
Galveston, TX		49	29.4	95.5
Houston, TX		44	30.1	95.9
Salt Lake City, UT	18	41.1	112.3
Burlington, VT		7	45.0	73.9
Norfolk, VA		32	37.0	76.6
Seattle, WA		33	48.1	122.5
Spokane, WA		19	48.1	117.9
Madison, WI		9	43.4	90.2
Milwaukee, WI		13	43.3	88.1
Cheyenne, WY		14	41.2	104.9</pre>]]></description>
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         <pubDate>2014-10-29 16:36:52 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39047006</guid>
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         <title>1-Variable Statistical Analysis</title>
         <author>Mikayla14</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39048320</link>
         <description><![CDATA[<p><span style="font-size: 13px;"><b>Mean: </b> 26.52</span><br></p><p><b>Standard</b> <b>Deviation:</b>  13.38</p><p><b>Minimum: </b> 0</p><p><b>Q1:</b>  18.5</p><p><b>Median: </b> 24.5</p><p><b>Q3:</b>  33.5</p><p><b>Maximum:</b>  65  </p>]]></description>
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         <pubDate>2014-10-29 16:41:13 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39048320</guid>
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      <item>
         <title></title>
         <author>Mikayla14</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372028</link>
         <description><![CDATA[]]></description>
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         <pubDate>2014-10-31 16:26:18 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372028</guid>
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         <title></title>
         <author>abevilacqua1</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372097</link>
         <description><![CDATA[]]></description>
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         <pubDate>2014-10-31 16:27:07 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372097</guid>
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         <title></title>
         <author>rebecca_knodell</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372317</link>
         <description><![CDATA[]]></description>
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         <pubDate>2014-10-31 16:29:20 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372317</guid>
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      <item>
         <title></title>
         <author>rebecca_knodell</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372631</link>
         <description><![CDATA[<p>We chose this data set because weather is something that you encounter everyday in life. It also gave clear and straightforward data set so it was a simple process to understand the data that was given. This data set shows us that the minimum temperature recorded in January is 0 degrees.  The average, or median, temperature is 24.5 degrees, and the maximum degree recorded is 65.  The first quartile shows the median of the lower range of data, where the third quartile shows the median of the higher range of data. &nbsp;</p><p>Also, present within this data is the IQR, or interquartile range.  This range is calculated by taking the third quartile minus the first quartile.  This shows you the range where the majority of the temperatures fall between, and for this set of data, the IQR is 15.  The mean of this data set is 26.52, which shows us the average of the data set.  <span style="font-size: 13px;">The box plot specifically shows that our data set is skewed to the right.  This is because there are two higher temperatures that throw the graph off and make it this way.  </span><span style="font-size: 13px;">The charts also contain peaks; the greatest peak contains 20 cities where the temperature ranges from 21-30 degrees.  However, there are no outliers within this data due to the numbers being relatively similar throughout the data.  But there are non-outliers, which include the lower non-outlier being 0 and the upper non-outlier being 65.  This data set does contain a mode of 24, as well as a range of 65. &nbsp;</span></p><p><span style="font-size: 13px;">Overall, we think the histogram does the best at displaying the data set.  This is because the histogram shows the number of cities, along with the temperature ranges in which they fall.  However, as the line graph shows these two characteristics as well, it is easier to pinpoint, with the histogram, the exact number of cities.  When looking at the pie chart and the box plot, these two only display where the majority of the data fall, therefore making it more difficult to know the number of cities that fall into each of these ranges.  As you would normally expect some of the temperatures that were recorded for the month of January, it was surprising to us how the data range ranged all the way from 0 to 65 degrees!  Being from where we are from and knowing the range of temperatures that the month of January usually brings to our area, it is hard to imagine that there are some cities that are experiencing the warmth of 65 degrees while we're all bundled up!</span></p>]]></description>
         <enclosure url="" />
         <pubDate>2014-10-31 16:31:56 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372631</guid>
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         <title></title>
         <author>rlbiasi</author>
         <link>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372990</link>
         <description><![CDATA[]]></description>
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         <pubDate>2014-10-31 16:34:45 UTC</pubDate>
         <guid>https://padlet.com/Mikayla14/gy8dlyyh9bed/wish/39372990</guid>
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