## What does Q mean in Tukey test?

studentized range distribution

Named after John Tukey, it compares all possible pairs of means, and is based on a studentized range distribution (q) (this distribution is similar to the distribution of t from the t-test.

## How do you find the Q statistic for Tukey Kramer?

Lastly, the sample size of each group is 10. Thus, our Q critical value can be calculated as: Q critical value = Q*√(s2pooled / n.) = 3.53*√(19.056/10) = 4.87….Example: Tukey-Kramer Test in Excel

- Q = Value from Studentized Range Q Table.
- s2pooled = Pooled variance across all groups.
- n. = Sample size for a given group.

**What is the null hypothesis for Tukey test?**

Tukey’s HSD is a multiple comparison technique that tests the null hypothesis that two means are equal. It should be used when you reject ANOVA’s omnibus null hypothesis AND the number of levels of the IV is greater than 2.

**How do you find q in statistics?**

q refers to the proportion of sample elements that do not have a particular attribute, so q = 1 – p. r is the sample correlation coefficient, based on all of the elements from a sample. n is the number of elements in a sample.

### What is K in Q table?

The studentized range statistic (q)* *The critical values for q corresponding to alpha = .05 (top) and. alpha = .01 (bottom) df for Error Term. k= Number of Treatments.

### How do you use Tukey’s Q?

Just input the number of groups in your study (k) in the first box, and degrees of freedom (normally the total number of subjects minus the number of groups) in the second box. Obviously, both these values need to be integers. That’s all there is to it – just press the calculate button once you’re ready.

**What is p-value in Tukey test?**

The Tukey multiple comparisons test only compares pairs of means, and a overall P value < 0.05 in the ANOVA does not guarantee that Tukey (or Dunnett, etc.) multiple comparisons tests will find a significant difference when it compares pairs of mean.

**What is Q in binomial distribution?**

The letter p denotes the probability of a success on one trial, and q denotes the probability of a failure on one trial.