"R t검정"의 두 판 사이의 차이

2020년 12월 5일 (토) 22:57 기준 최신판

1 개요[ | ]

R t.test()

2 1표본 t검정[ | ]

R 1표본 t검정 문서를 참고하십시오.

x = c(1:10)
t.test(x)

3 2표본 t검정[ | ]

R 2표본 t검정 문서를 참고하십시오.

A1 = c(30.02, 29.99, 30.11, 29.97, 30.01, 29.99)
A2 = c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)
t.test(A1, A2)

a = c(1,2,3,4,5,6,7,8,9,10)
b = c(5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20)
t.test(x=a, y=b)

4 같이 보기[ | ]

5 참고[ | ]

https://www.rdocumentation.org/packages/stats/versions/3.6.0/topics/t.test

@@ 3번째 줄: / 3번째 줄: @@
 ==1표본 t검정==
-<source lang='r'>
+{{참고|R 1표본 t검정}}
-(x <- c(1:10))
+<syntaxhighlight lang='r' run>
-##  [1]  1  2  3  4  5  6  7  8  9 10
+x = c(1:10)
 t.test(x)
-##
+</syntaxhighlight>
-## 	One Sample t-test
-##
-## data:  x
-## t = 5.7446, df = 9, p-value = 0.0002782
-## alternative hypothesis: true mean is not equal to 0
-## 95 percent confidence interval:
-##  3.334149 7.665851
-## sample estimates:
-## mean of x
-##       5.5
-</source>
 ==2표본 t검정==
-<source lang='r'>
+{{참고|R 2표본 t검정}}
-(a <- c(1:10))
+<syntaxhighlight lang='r' run>
-##  [1]  1  2  3  4  5  6  7  8  9 10
+A1 = c(30.02, 29.99, 30.11, 29.97, 30.01, 29.99)
-(b <- c(5:20))
+A2 = c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)
-##  [1]  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20
+t.test(A1, A2)
-t.test(a, y=b)
+</syntaxhighlight>
-##
+<syntaxhighlight lang='r' run>
-## 	Welch Two Sample t-test
+a = c(1,2,3,4,5,6,7,8,9,10)
-##
+b = c(5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20)
-## data:  a and b
+t.test(x=a, y=b)
-## t = -4.5826, df = 23.967, p-value = 0.0001204
+</syntaxhighlight>
-## alternative hypothesis: true difference in means is not equal to 0
-## 95 percent confidence interval:
-##  -10.152884  -3.847116
-## sample estimates:
-## mean of x mean of y
-##       5.5      12.5
-</source>
 ==같이 보기==
@@ 48번째 줄: / 30번째 줄: @@
 * https://www.rdocumentation.org/packages/stats/versions/3.6.0/topics/t.test
+[[분류: R 통계검정]]
 [[분류: R stats]]
+[[분류: t검정]]