In the context of statistics, "n" typically represents the sample size, or the number of observations or data points in a study. The "t" often refers to a t-statistic, which is used in t-tests to determine if there are significant differences between groups. Therefore, "n on the t" might imply the sample size used in calculating the t-statistic for hypothesis testing. In summary, it highlights the relationship between sample size and statistical analysis.
The geometric mean of n numbers (t{1}, t{2}, ..., t{n}) is given by (Π t{n})^(1/n) → geometric mean of 8.5 and 12.4 = (8.5 × 12.4)^(1/2) = 10.26645... ≈ 10.266
n n n n n n n n n n n n n n n o o o o o o o o o o o o o t t t t t t t t t t t h h h h h h h h h h h h h h i i i i i i i i i i n n n n n n n n n n g g g g g g gg g g g g g g g gg gg g
It does not "mean" anything. t(n) = 100 - (n-1)2, n = 1, 2, 3, ... or equivalently, t(n) = (11 - n)*(9 + n)
t means 'and'
n n n n n n n n n n n n n n n o o o o o o o o o o o o o t t t t t t t t t t t h h h h h h h h h h h h h h i i i i i i i i i i n n n n n n n n n n g g g g g g gg g g g g g g g gg gg g
neither
The opposite of "mean" is "nice." Perhaps the "t" is incorrect.
t means 'and'
serve and win it
The recursive relationship for the function t(n) is t(n) t(n - 1) 1/n.
Count the number of elements in the set - call this number n. Add up all the numbers in the set - call this total t Then mean = t/n
It stands for Totally Not Our Problem.duhhh