Both are parametric test.
The t-test uses a test statistic that is related to the sample mean(s) and is used to compare that with the mean of another sample or some population.
The F-test uses a test statistic that is related to the sample variance and is used to compare that with the variance of another sample or some population.
Both tests require identical independently distributed random variables. This ensures that the relevant test statistics are approximately normally distributed.
It appears that you might be referring to a situation in which Welch's t-test can be applied. Since it would be excruciating to write the required formulae here on answers.com let me refer you to the wikipedia page.
False
P | T T F F Q | T F T F Q' | F T F T P + Q' | F T F F The layout is the best I could do with this software. Hope it is OK.
The answer depends on what is being tested: the t-test, F-test, Chi-square, Z-test are all commonly used with the Normal distribution. There are many others.
Each different t-distribution is defined by which of the following? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
It appears that you might be referring to a situation in which Welch's t-test can be applied. Since it would be excruciating to write the required formulae here on answers.com let me refer you to the wikipedia page.
There's only one good tip: STUDY (and teachers never put too many of the same answer in a row: T T T F T F F F T T T)
Otto F. W. T. Griepenkerl has written: 'Letters on applied tactics' -- subject(s): Accessible book, Tactics
The equation P = F * d / t can be used to find power P in terms of force F, distance d, and time t. Power is equal to the force applied multiplied by the distance over which the force is applied, divided by the time taken to do the work.
thompson F***ed s**t up
Some are T or F, others are A,B,C or D
Some are T or F, others are A,B,C or D
Computing F-ratioThe F-ratio is used to determine whether the variances in two independent samples are equal. If the F-ratio is not statistically significant, you may assume there is homogeneity of variance and employ the standard t-test for the difference of means. If the F-ratio is statistically significant, use an alternative t-test computation such as the Cochran and Cox method.
Here is its truth-table: A B A and B F F F F T F T F F T T T
p > q~qTherefore, ~p| p | q | p > q | ~q | ~p || t | t | t | f | f || t | f | t | t | f || f | t | t | f | t || f | f | t | t | t |
False
P | T T F F Q | T F T F Q' | F T F T P + Q' | F T F F The layout is the best I could do with this software. Hope it is OK.