Is VBR -V0 better than the CBR320k on average?

Somewhat likely, but since the p-value is 0.2411, we cannot be very certain.

If he tests another 12 tracks , 24 tracks, 48 tracks, and many many tracks, he may find that -V0 can be 0.30 better, or 0.08 worse, or anywhere in between.

> cbr = c(4.7, 3.5, 4.3, 4.9, 4.8, 4.7, 5, 5, 4.9, 4.9, 4.9, 5)

> vbr = c(4.9, 4.5, 4.3, 4.9, 4.9, 4.9, 4.9, 5, 5, 4.9, 4.9, 4.8)

> t.test(cbr, vbr, paired=TRUE)

Paired t-test

data: cbr and vbr

t = -1.239, df = 11, p-value = 0.2411

alternative hypothesis: true difference in means is not equal to 0

95 percent confidence interval:

-0.30078053 0.08411387

sample estimates:

mean of the differences

-0.1083333

> R.version

_

platform x86_64-w64-mingw32

arch x86_64

os mingw32

system x86_64, mingw32

status

major 4

minor 0.4

year 2021

month 02

day 15

svn rev 80002

language R

version.string R version 4.0.4 (2021-02-15)

nickname Lost Library Book

>