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--- spss_tutorial:t-test [2016/05/31 22:51] – hkimscil
+++ spss_tutorial:t-test [2016/06/14 12:49] (current) – [동영상] hkimscil
@@ Line 1: / Line 1: @@
 ~~SLIDESHOW~~
 ====== T-test ======
-Recap: 4가지 종류의 t-test
+Recap: 4가지 종류의 t-test \\
-see [[:t-test|t-test 문서]]
+see [[:t-test|t-test 문서]] \\
+Data: {{hs1.sav}} \\
+  * One sample t-test
+  * Two sample independent t-test
+  * paired t-test
+===== 동영상 =====
+{{03.mp4|t-test}}
+===== One Sample T-test =====
+<WRAP prewrap>
+<code>Analyze
+ Compare Means
+  One Sample t-test
+   select write and compare it to 50
+</code>
+</WRAP>
+<WRAP prewrap>
+<code>t-test
+ /testval=50
+ /variables=write.</code>
+</WRAP>
-<WRAP box>
+===== Two Sample Independent T-test =====
-__''요약''__
+<WRAP prewrap>
+<code>Analyze
-\begin{eqnarray}
+ Compare Means
-z\;\;\;\text{or}\;\;\;t = \frac{\overline{X}-\mu}{\sigma_{\overline{X}} }  \\
+  Independent Samples t-test
-t = \frac{\overline{X}-\mu}{s_{\overline{X}}  } \\
+   select write as the dependent
-t = \frac{(\overline{X_a}-\overline{X_b})-(\mu_a-\mu_b)}{\sigma_{diff}} \\
+   variable and female as the
-t = \frac{\overline{D}-0}{s_{ \overline{D} }} = \frac {\overline{D}}{ \frac{s_D}{\sqrt{N}} }
+   independent variable</code>
-\end{eqnarray}
 </WRAP>
-====== One Sample T-test ======
+<WRAP prewrap>
+<code>t-test
+  groups=female(0 1)
+  /variables=write. </code>
+</WRAP>
-====== Two Sample Independent T-test ======
+===== Paired T-test =====
+<WRAP prewrap>
+<code>Analyze
+ Compare Means
+  Paired Samples t-test
+   select write and science
+</code>
+</WRAP>
+<WRAP prewrap>
+<code>t-test
+ pairs= write with science (paired).</code>
+</WRAP>
-====== Paired T-test ======