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--- c:ms:2026:schedule [2026/03/08 22:39] – [Week02] hkimscil
+++ c:ms:2026:schedule [2026/04/06 14:53] (current) – [Week07] hkimscil
@@ Line 185: / Line 185: @@
         * Mediating (Intervening) variable
       * [[:Level of Measurement]]
-[[Lecture note week 02]]
 ===== Assignment =====
 </WRAP>
@@ Line 191: / Line 190: @@
 ====== Week03 ======
 <WRAP half column>
+[[./schedule/lecture note week 03]]
 주차 온라인 강의 동영상은 4주에 걸쳐서 보시기 바랍니다. 즉, 4주 중에 따로 동영상 올리지 않습니다.
@@ Line 208: / Line 209: @@
 ===== Concepts and ideas =====
-<WRAP box>[[:b:r cookbook:navigating|Navigating]] software
-  - Introduction
-  - Getting and Setting the Working Directory
-  - Saving Your Workspace
-  - Viewing Your Command History
-  - Saving the Result of the Previous Command
-  - Displaying the Search Path
-  - Accessing the Functions in a Package
-  - Accessing Built-in Datasets
-  - Viewing the List of Installed Packages
-  - Installing Packages from CRAN
-  - Setting a Default CRAN Mirror
-  - Suppressing the Startup Message
-  - Running a Script
-  - Running a Batch Script
-  - Getting and Setting Environment Variables
-  - Locating the R Home Directory
-  - Customizing R
-</WRAP>
 [[:Mean]]
 [[:Mode]]
@@ Line 241: / Line 222: @@
 [[:Sampling distribution]] via random [[:sampling]]
-  * sa [[:sampling distribution in r]]
+  * sa [[:r:sampling distribution]] with r script
 [[:Central Limit Theorem]]
@@ Line 418: / Line 399: @@
 </WRAP>
 <WRAP half column>
-{{:c:ms:2023:pasted:20230329-102748.jpeg}}
-아래 두번째 그림은 population의 평균이 102 일 때
-명을 (1600명이 아니라) 샘플로 취했을 때의
-샘플평균들의 집합을 그린것입니다.
-{{:c:ms:2023:pasted:20230329-102811.jpeg}}
-<code>
-#####
-mu.pop <- 100
-sd.pop <- 10
-set.seed(101)
-treated.group <- rnorm(16, 112, 10)
-treated.group
-m.tg <- mean(treated.group)
-m.tg
-# install.packages("BSDA")
-# library(BSDA)
-z.test(treated.group, mu=mu.pop, sigma.x=sd.pop)
-mu.pop <- 100
-sd.pop <- 10
-set.seed(100)
-treated.group.2 <- rnorm(16, 102, 10)
-treated.group.2
-m.treated.group.2 <- mean(treated.group.2)
-m.treated.group.2
-# install.packages("BSDA")
-# library(BSDA)
-z.test(treated.group.2, mu=mu.pop, sigma.x=sd.pop)
-set.seed(100)
-treated.group.2 <- rnorm(1600, 102, 10)
-treated.group.2
-m.treated.group.2 <- mean(treated.group.2)
-m.treated.group.2
-# install.packages("BSDA")
-# library(BSDA)
-z.test(treated.group.2, mu=mu.pop, sigma.x=sd.pop)
-</code>
 ===== Assignment =====
@@ Line 544: / Line 479: @@
 [[./w07.2 factorial anova]] or two way anova
 ===== Assignment =====
-----
-  * 가설 만들어 보기
-    * [[http://behavioralsciencewriting.blogspot.kr/2011/09/how-to-write-hypothesis.html|how to write hypothesis]] at behavioral science writing.
-    * One sample hypothesis [[http://www.socialresearchmethods.net/kb/hypothes.php|Hypothesis]] at www.socialresearchmethods.net
 ===== 8주차 퀴즈 =====
 주차 정기시험기간 중에 2차 퀴즈
-  * 4월26일, 09:00 ~ (A, B교시)
-  * 범위
-    * 처음부터 One-way ANOVA test with post hoc test 까지 (R square에 대한 설명포함)
-    * 제 9주차 내용이지만 수업시간에 다룬 것만 시험에 나옵니다.
-    * 동영상은 7주차까지 보셔야 합니다
-      * [[:Sampling]]
-      * [[:Hypothesis]]
-      * [[:Variables]]
-        * [[:Types of Variables]]
-        * [[:Level of Measurement]]
-      * [[:Mean]] [[:Median]] [[:Mode]]
-      * [[:Variance]], [[:Standard Deviation]]
-      * [[:Sampling Distribution]]
-      * [[:Central Limit Theorem]], [[:Hypothesis Testing]]
-      * [[:z-test]]
-      * [[:t-test]]
-      * [[:ANOVA]]
-      * [[:post hoc test]]
 </WRAP>