z=(x-mean)/(standard deviation of population distribution/square root of sample size) T-score is for when you don't have pop. standard deviation and must use sample s.d. as a substitute. t=(x-mean)/(standard deviation of sampling distribution/square root of sample size)
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
4 coins tossed could have the following patterns T T T T T T T H, T T H T, T H T T, H T T T T T H H, T H T H, T H H T, H H T T, H T H T, H T T H H H H T, H H T H, H T H H, T H H H H H H H Odds of 2H&2T = 6/16 = .375
A hypothesis is the first step in running a statistical test (t-test, chi-square test, etc.) A NULL HYPOTHESIS is the probability that what you are testing does NOT occur. An ALTERNATIVE HYPOTHESIS is the probability that what you are testing DOES occur.
there could be five possible outcomes: t= tails h= heads t t t t 4 tails t t t h 3 tails 1 head t t h h 2 tails 2 heads t h h h 1 tail 3 heads h h h h 4 heads
Area = t2 (t multiplied by t) ,where t = length of the square's side
(the square root of 19 - t)(t + the square root of 19)
Please hand me the T-square.
49 square t
The letter T. The "square" in the name refers to the right angles formed where the horizontal of the T meets the top of the vertical.
Note that t15 contains the perfect square factor of t14. We can rewrite the expression as: √(t * t14) = √(t * (t7)²) = t7√t
t^2 ------ 14
Warren Mallillin Taguibao (1200-1293) a filipino invented the T-square(in our time now) during his hard work in school making 90deg.perfect lines. Apparently he invented the T-square by making an ordinary ruler with an head called the "T".
t t ---- t tt tt ---- t tt tt ---- ----
On the outside of the squares. So, an example would be: T t t t
t.5 or 1/2t
TT