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c:ma:2018:schedule [2018/12/04 01:47] – [Week14 (Dec. 4, 7)] hkimscilc:ma:2018:schedule [2018/12/17 10:01] (current) – [Week15 (Dec. 11, 14)] hkimscil
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 </code> </code>
  
 +see first [[:chi-square test]]
 +see [[:r:chi-square test]] in r document space for more
  
 <code> library(MASS) <code> library(MASS)
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   * get sd of the zdur   * get sd of the zdur
  
-<code>x <- rnorm(50, mean=100, sd=15)+<code> 
 +set.seed(1123) 
 +x <- rnorm(50, mean=100, sd=15)
 </code> </code>
   * test x against population  mean 95.   * test x against population  mean 95.
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 </code> </code>
   * find the t critical value with function qt.    * find the t critical value with function qt. 
-  
   * explain what happens in the next code   * explain what happens in the next code
 +  * read (or remind) what pnorm and qnorm do.
 <code>> s <- sd(x) <code>> s <- sd(x)
 > m <- mean(x) > m <- mean(x)
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 [1]  91.0636 100.9441 [1]  91.0636 100.9441
 > </code> > </code>
 +
 +
   * what's wrong with the below?   * what's wrong with the below?
 <code>t.test(x)</code> <code>t.test(x)</code>
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 <WRAP half column> <WRAP half column>
 ===== Concepts and ideas ===== ===== Concepts and ideas =====
 +ANOVA
 +[[:r:oneway anova]]
 +[[:r:twoway anova]]
 +[[:r:linear regression]]
 +[[:r:multiple regression]]
 +[[:partial and semipartial correlation]]
 +
 +[[:statistical regression methods]]
 +[[:sequential_regression]]
 +
 + 
 +[[:factor analysis]]
 +
 Linear Regression and ANOVA Linear Regression and ANOVA
 http://commres.net/wiki/text_mining_example_with_korean_songs http://commres.net/wiki/text_mining_example_with_korean_songs
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 ====== Week15 (Dec. 11, 14) ====== ====== Week15 (Dec. 11, 14) ======
 <WRAP half column> <WRAP half column>
-Group Presentation+Final quiz 
 +Part I  (필기시험): NO open book.  
 +  * [[:correlation]]   
 +  * [[:regression]] 
 +  * [[:multiple regression]] 
 +  * [[:chi-square test]] 
 +  * [[:factor analysis]] - 이론적인 이해와 관련된 부분 
 +  * r 과 관련된 내용 중 통계에 대한 이해와 관련된 부분, 예를 들면 
 +    * t-test, ANOVA, Factorial  ANOVA output에 대한 이해 
 +    * regression, multiple regression output에 대한 이해 등 
 +Part II (r 실기시험): 교재와  R help만 허용 
 +  * [[:r:getting started]] 
 +  * [[:r:basics]] 
 +  * [[:r:navigating]] 
 +  * [[:r:input output]] 
 +  * [[:r:data structures]] 
 +  * [[:r:data transformations]] 
 +  * [[:r:probability]] 
 +  * [[:r:general statistics]] 
 +  * [[:r:t-test]] 
 +  * [[:r:anova]] 
 +  * [[:r:linear regression]] 
 +  * [[:r:multiple regression]] 
 +    * [[:partial and semipartial correlation]] 
 +    * [[:statistical regression methods]]
 </WRAP> </WRAP>
 <WRAP half column> <WRAP half column>
 </WRAP> </WRAP>
-<WRAP half column> 
 ====== Week16 (Dec. 18, 21) ====== ====== Week16 (Dec. 18, 21) ======
-Group Presentation+<WRAP half column>
 __**Final-term**__ __**Final-term**__
 </WRAP> </WRAP>
c/ma/2018/schedule.1543855659.txt.gz · Last modified: 2018/12/04 01:47 by hkimscil

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