I run this code: t.test(x = rate$Open.rate, mu = 0.4, alternative = "greater") I get: data: rate$Open.rate t = -0.5295, df = 9, p-value = 0.6954 alternative hypothesis: true mean is greater than 0.4 95 percent confidence interval: 0.297375 Inf sample estimates: mean of x 0.377 I get the same t value as in this lesson but a different p-value? How come I get a different result with the t.test function?

Follow this topic