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2 1 #m1 <- 20 m2 <- 24 sd1 <- 5 sd2 <- 4 n1 <- 20 n2 <- 30 d <- abs((m1 - m2) / sqrt(((n1-1) * sd1^ 2 + (n2-1) * sd2^2) / (n1 + n2 - 2))) d 蟆郁骸
> d [1] 0.9043735 [edit]
3 2 #m1 <- 20 m2 <- 24 sd1 <- 5 sd2 <- 4 d <- abs((m1 - m2) / sqrt((sd1^2 + sd2^2) / 2)) d 蟆郁骸
> d [1] 0.8834522 [edit]
4 3 #experimental_group <- rnorm(100, mean=100, sd=10) control_group <- rnorm(110, mean=90, sd=20) t.test(experimental_group, control_group) effect_size <- (mean(experimental_group) - mean(control_group)) / sd(control_group) effect_size 蟆郁骸
> t.test(experimental_group, control_group) Welch Two Sample t-test data: experimental_group and control_group t = 5.9206, df = 162.36, p-value = 1.853e-08 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 8.060181 16.127373 sample estimates: mean of x mean of y 100.49207 88.39829 > > effect_size <- (mean(experimental_group) - mean(control_group)) / sd(control_group) > effect_size [1] 0.6355913 伎( 蠏碁9 蠏 谿願 , t-test 蟆郁骸 谿瑚)
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