No The test statistic F-Test is a sum of squares, which by definition of squaring a number it must be positive.
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
The F distribution can't be negative.
This is a very simple statistic to comprehend and to calculate. It takes the frequency distribution method of calculating probability. The statistic is calculated as This statistic is simple to interpret as well. What it calculates is the probability of the portfolio to get a negative return. It can be comprehended that a higher figure would mean a higher probability of fund to do give negative returns.
The F statistic is statistic which may be used to test whether a regression accounts for a statistically significant proportion of the observed variation in the dependent variable.
No The test statistic F-Test is a sum of squares, which by definition of squaring a number it must be positive.
It means 1/f .
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
F is the test statistic and H0 is the means are equal. A small test statistic such as 1 would mean you would fail to reject the null hypothesis that the means are equal.
a statistic that is not in youre favor
Mean, variance, t-statistic, z-score, chi-squared statistic, F-statistic, Mann-Whitney U, Wilcoxon W, Pearson's correlation and so on.
The F distribution can't be negative.
A negative z-score indicates that the observed value (or statistic) was below the mean. In non-directional tests, a negative z-score is just as likely as a positive one.
A 3 mile loop, by itself, cannot have a F-statistic.
This is a very simple statistic to comprehend and to calculate. It takes the frequency distribution method of calculating probability. The statistic is calculated as This statistic is simple to interpret as well. What it calculates is the probability of the portfolio to get a negative return. It can be comprehended that a higher figure would mean a higher probability of fund to do give negative returns.
It you mean -273°F the the answer is -169°C.
The F statistic is statistic which may be used to test whether a regression accounts for a statistically significant proportion of the observed variation in the dependent variable.