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<title>aoihoriuchiのブログ</title>
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<title>10</title>
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<![CDATA[ <br>Throughout these lessons, I got to know what statistics is, and how to make graphs through data.<br>I am not good with math and numbers so it was a good　opportunity for me to overcome it.<br>
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<link>https://ameblo.jp/t13832ah/entry-11759709184.html</link>
<pubDate>Tue, 28 Jan 2014 16:09:56 +0900</pubDate>
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<title>9</title>
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<![CDATA[ Ninth Lesson ～Conditional Probability～<br><br>☆WHAT WAS THIS LESSON ABOUT?<br><br><br>In real life, things depend on each other, for examle lets assume whether you are smart or dumb. If you were born smart, the probibility that you will become a teacher at Stanford. This lesson was about things like this, things that occur because of other things.<br><br><br>☆WHAT I LEARNED<br> I guess that thing s occur because of other things so there is destiny.<br>
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<link>https://ameblo.jp/t13832ah/entry-11759708257.html</link>
<pubDate>Tue, 14 Jan 2014 16:02:31 +0900</pubDate>
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<title>8</title>
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<![CDATA[ Eighth Lesson～Probability～<br><br>☆WHAT WAS THIS LESSON ABOUT?<br><br><br>Probability is the opposite of statistics. Probability is to predict data by using causes.<br>Flipping coins is a familiar example of probability. You keep track of the causes (in this case heads or tails) and  based on that, guess what the next will be.<br><br><br>☆WHAT I LEARNED<br><br>I did probability in high school so it was familiar to me.<br>
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<link>https://ameblo.jp/t13832ah/entry-11759704496.html</link>
<pubDate>Mon, 06 Jan 2014 15:56:22 +0900</pubDate>
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<title>7</title>
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<![CDATA[ Seventh Lesson ～Visualization～<br><br>☆WHAT WAS THIS LESSON ABOUT☆<br><br><br>By using an example about GPA in high school and college, and by using color, you could review scatter plots.<br><br><a href="http://stat.ameba.jp/user_images/20140128/15/t13832ah/09/ed/p/o0793046712827825777.png"><img border="0" src="https://stat.ameba.jp/user_images/20140128/15/t13832ah/09/ed/p/t02200130_0793046712827825777.png" alt=""></a><br>Also what linear is.<br><br><br>☆WHAT I LEARNED☆<br><br>I finally understood what linear is. <br>
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<link>https://ameblo.jp/t13832ah/entry-11759701256.html</link>
<pubDate>Mon, 30 Dec 2013 15:47:46 +0900</pubDate>
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<title>6</title>
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<![CDATA[ Sixth Lesson Admission Case Study<br><br>☆WHAT WAS THIS LESSON ABOUT<br>what admission rate is. How to make data into conclusions.<br><br><br>☆WHAT I LEARNED <br>This lesson was hard for me to understand. <br>
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<link>https://ameblo.jp/t13832ah/entry-11759696661.html</link>
<pubDate>Tue, 24 Dec 2013 15:37:52 +0900</pubDate>
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<title>5</title>
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<![CDATA[ Fifth Lesson Pie charts<br><br>☆WHAT WAS THIS LESSON ABOUT<br>I learned what a pie chart is. You use pie charts in statistics to visualize data, especially relative data.<br><br>☆WHAT I LEARNED<br>I knew what pie charts are so this lesson was fun for me.<br>
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<link>https://ameblo.jp/t13832ah/entry-11759691797.html</link>
<pubDate>Tue, 17 Dec 2013 15:29:27 +0900</pubDate>
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<title>4</title>
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<![CDATA[ Fourth Lesson～Bar Charts～<br><br>☆WHAT WAS THIS LESSON ABOUT☆<br><br>I learned what bar charts are. Bar chats a common data visualization tool. You pull the data together and put it into a bar like this.<br><br><a href="http://stat.ameba.jp/user_images/20140128/15/t13832ah/7b/8a/p/o0780042812827802319.png"><img border="0" src="https://stat.ameba.jp/user_images/20140128/15/t13832ah/7b/8a/p/t02200121_0780042812827802319.png" alt=""></a><br><br><br>☆WHAT I LEARNED☆<br>Pulling multiple data points into a data bar makes it easier to make a linear data graph.<br>
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<link>https://ameblo.jp/t13832ah/entry-11759686917.html</link>
<pubDate>Mon, 09 Dec 2013 15:16:40 +0900</pubDate>
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<title>3</title>
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<![CDATA[ <font size="3">Third lesson～Scatter Plots～<br><br>☆WHAT WAS IT ABOUT☆<br>The most importint thing that a statistics person does, is to look at data.<br>This lesson was about, how to visalise data by using a simple technique <br>called scatter plot. Each data becomes a dot, so you can turn data into a graph<br><br><br>☆WHAT I LEARNED☆<br>I learned that data is not only a list of numbers or alphabets. You can turn data into a graph which is easier to understand.</font>
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<link>https://ameblo.jp/t13832ah/entry-11759681178.html</link>
<pubDate>Tue, 03 Dec 2013 15:15:54 +0900</pubDate>
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<title>2</title>
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<![CDATA[ Second Lesson ~ Data to Decisions~<br><br>☆WHAT WAS IT ABOUT?<br><br>This lesson started out by teaching us was statistics is, in the first place.<br>By using examples like purchasing houses, it was easy to understand what statistics was all about.Since there were many quizzes, I was able to test myself whether or not I was understanding the logic.   <br><br>☆WHAT I LEARNED<br>I learned what statistics are, it's something that turns data into information for us, and also how to use data and turn it into information by calculating.
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<link>https://ameblo.jp/t13832ah/entry-11749592908.html</link>
<pubDate>Mon, 25 Nov 2013 03:36:11 +0900</pubDate>
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<title>1</title>
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<![CDATA[ First Lesson ~ TEASER~<br><br><br>☆WHAT WAS IT ABOUT?<br><br>This was the first lesson about statistics.<br>The teacher taught us what sorting data was like by using easy examples such as how many friends we have in average or we are expected to have.<br><br><br>☆WHAT I LEARNED<br><br>I was able to understand was sorting data was like but it was still hard  for me to calculate the average and expectations.
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<link>https://ameblo.jp/t13832ah/entry-11749582627.html</link>
<pubDate>Tue, 19 Nov 2013 02:52:57 +0900</pubDate>
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