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
>