BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20240310T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20231105T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240212T222127Z
UID:BF58C710-FB7E-4739-980C-055D7F0B3576
DTSTART;TZID=America/Chicago:20240116T180000
DTEND;TZID=America/Chicago:20240116T200000
DESCRIPTION:As the saying goes\, “a picture is worth a thousand words.”
  Similarly\, a graph can be worth dozens of statistical calculations. Well
 -chosen graphical methods are an important part of successful data analysi
 s. Graphs of individual data values provide insight into central tendency\
 , variation\, time trends\, and correlation. This talk will introduce this
  valuable category of statistical graphics\, show how specific graphical m
 ethods provide these insights and provide examples of each of these graphs
 .\n\nCo-sponsored by: Angela Robinson\n\nSpeaker(s): \, Karen Hulting\n\nA
 genda: \n6:00 Networking\n\n6:30 Speaker\n\n8:30 Adjourn\n\nVirtual: https
 ://events.vtools.ieee.org/m/399048
LOCATION:Virtual: https://events.vtools.ieee.org/m/399048
ORGANIZER:mnrc.ieee@gmail.com
SEQUENCE:49
SUMMARY:Statistical Insights with Graphs of Individual Data Values
URL;VALUE=URI:https://events.vtools.ieee.org/m/399048
X-ALT-DESC:Description: &lt;br /&gt;&lt;div class=&quot;g-group l-lg-mar-bot-6 l-md-mar-b
 ot-4  &quot;&gt;\n&lt;div class=&quot;g-cell g-cell-10-12 g-cell-md-1-1&quot;&gt;\n&lt;div class=&quot;has
 -user-generated-content&quot;&gt;\n&lt;p style=&quot;margin: 0in\; font-family: &#39;Neue Plak
 &#39;\; font-size: 12.0pt\; color: #6f7287\;&quot;&gt;&lt;span style=&quot;background: white\;
  font-family: arial\, helvetica\, sans-serif\;&quot;&gt;As the saying goes\, &amp;ldqu
 o\;a picture is worth a thousand words.&amp;rdquo\; Similarly\, a graph can be
  worth dozens of statistical calculations. Well-chosen graphical methods a
 re an important part of successful data analysis. Graphs of individual dat
 a values provide insight into central tendency\, variation\, time trends\,
  and correlation. This talk will introduce this valuable category of stati
 stical graphics\, show how specific graphical methods provide these insigh
 ts and provide examples of each of these graphs.&lt;/span&gt;&lt;/p&gt;\n&lt;/div&gt;\n&lt;/div
 &gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:00 Networking&lt;/p&gt;\n&lt;p&gt;6:30 Speaker
 &lt;/p&gt;\n&lt;p&gt;8:30&amp;nbsp\; Adjourn&lt;/p&gt;
END:VEVENT
END:VCALENDAR

