f test example using QI Macros add-in for Excel Click and drag over your data to select it in Excel: Click on the QI Macros Menu > Statistical Tools > F & t Tests, and then select "F-test: Two-sample for Variance": QI Macros will prompt for a significance level (default = 0.05)...
You Don't Have to be a Expert to Run an F-Test in ExcelQI Macros can run an f test and interpret the results for you!loading=lazyRun F-tests using QI Macros: Select your data. Click on QI Macros menu > Statistical Tools > F & t Tests > F-test. QI Macros will do the math ...
ADFTEST(R1,lab, , , type, alpha): returns a 3 × 1 range which contains the following values: tau-statistic, tau-critical, yes/no (stationary or not) Iflab= TRUE (default is FALSE), the output consists of a 3 × 2 range whose first column contains labels.type= the test type (0,...
The null hypothesis for this test is that there is no trend, and the alternative hypothesis is that there is a trend in the two-sided test or that there is an upward trend (or downward trend) in the one-sided test. For the time seriesx1, ..,xn, the MK Test uses the following st...
The Z statistic is defined as the difference between the value from an individual and the mean of the population divided by the standard deviation of the population or Z=xi-X¯SD. John and colleagues (John, 1977; John et al., 1977, 1987) expanded on the use of the Z-score for ...
Property 1: When n is sufficiently large, the T statistic (or even T+ or T-) has an approximately normal distribution N(μ, σ2) where Click here for a proof of Property 1. Correction for Ties Property 2: If there are a large number of ties, a better estimate of the variance is ...
I thought I'd quickly import my data to SPSS to see if a similar error message occurred. I'm pleased to report it did not, so I guess I'll continue on SPSS. Interestingly, the chi-squared statistic that SPSS returns is 1462.463 (vs 1453.99071 as per your equation above). I thought ...
The F-distribution contains all of the possible values for a test statistic. It is determined by the degrees of freedom and is always skewed right, meaning that all of the values are greater than zero. What does an F-test tell you? An F-test is a statistical method for comparing the ...
In a one-sample test (either a t-test or a z-test), we will typically calculate one test statistic, and then either use that test statistic's critical values or a p-value to determine our conclusion. In a two-sample test, we are comparing means (for example, testing a claim that ...
Could you please check that the formula for the A statistic is correct? Instead of a difference between the two LN() parts of the equation, a few other references show this as an addition. The formula seems to give a better result if the two terms are added!