, . . :
. H0 .
F - . , R var.test()
var.test(x,y,alternative = c("two.sided", "less","greater"), conf.level = 0.95,...)
x,y | (, lm). |
conf.level | |
Alternative | . "two.sided" ( )- , "greater" - "less"- . |
> x<-c(3.5, 3.6, 7.8, 9.6, 5.7, 8.9, 6.3)
> y<-c(1.0, 2.7, 8.9, 6.5, 8.9, 6.5,12.5,10.2, 1.2)
=7, =5.86; =9, =16.75
> var.test(x, y, alternative = c("two.sided"), conf.level = 0.95)
F test to compare two variances
data: x and y
F = 0.3498, num df = 6, denom df = 8, p-value = 0.2174
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.07519108 1.95855792
:
F = 0.3498 ( F ), - 6, y - 8
p-value = 0.2174, .. , , 21.74%
95% : (0.075, 1.959) - F - , 5% .
( , ).
, , . .. , , . :
,
- , , - ( , , ). ( ), , .
|
|
, R t.test()
t.test (x, y = NULL, alternative = c ("two.sided", "less", "greater"), var.equal = FALSE, conf.level = 0.95, paired = FALSE,...)
x | . |
y | ( , . ). |
paired | : x-y, y x. |
alternative | , , "two.sided" ( )- , "greater" - "less"- . |
var.equal | , |
conf.level | . |
var.equal=FALSE ( ), (Welch).