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Null-hypothesis for a 
Kendall’s Tau 
Conceptual Explanation
With hypothesis testing we are setting up a null-hypothesis 
–
With hypothesis testing we are setting up a null-hypothesis 
– the probability that there is no effect or 
relationship –
With hypothesis testing we are setting up a null-hypothesis 
– the probability that there is no effect or 
relationship – and then we collect evidence that leads 
us to either accept or reject that null hypothesis.
As you may recall, a Kendall’s Tau is like a Pearson 
correlation but is used with Rank-ordered data.
As you may recall, a Kendall’s Tau is like a Pearson 
correlation but is used with Rank-ordered data. 
Individuals Rank order for 
Biking Event 
Rank order for 
Running Event 
Bob 1st 1st 
Conrad 2nd 1st 
Dallen 2nd 2nd 
Ernie 3rd 3rd 
Fen 4th 4th 
Gaston 5th 4th
As you may recall, a Kendall’s Tau is like a Pearson 
correlation but is used with Rank-ordered data. It 
differs from a Spearman’s Rho in that it handles tied 
rankings whereas Spearman’s does not.
As you may recall, a Kendall’s Tau is like a Pearson 
correlation but is used with Rank-ordered data. It 
differs from a Spearman’s Rho in that it handles tied 
rankings whereas Spearman’s does not. 
Individuals Rank order for 
Biking Event 
Rank order for 
Running Event 
Bob 1st 1st 
Conrad 2nd 1st 
Dallen 2nd 2nd 
Ernie 3rd 3rd 
Fen 4th 4th 
Gaston 5th 4th
Here is a template for writing a null-hypothesis for a 
Kendall’s Tau:
Here is a template for writing a null-hypothesis for a 
Kendall’s Tau: 
There is no statistically significant relationship between 
the median [insert variable] and the median [insert 
variable].
Here is a template for writing a null-hypothesis for a 
Kendall’s Tau : 
There is no statistically significant relationship between 
the median [insert variable] and the median [insert 
variable]. 
Note – as long as both or at least 
one of the variables has rank-ordered 
ties then a Kendall’s Tau 
would be used.
Here is a template for writing a null-hypothesis for a 
Kendall’s Tau: 
There is no statistically significant relationship between 
the median [insert variable] and the median [insert 
variable]. 
You may remember that when rank-ordered 
variable is being compared with 
another variable the median is used.
Here is a template for writing a null-hypothesis for a 
Kendall’s Tau : 
There is no statistically significant relationship between 
the median [insert variable] and the median [insert 
variable]. 
Also, the null-hypothesis is the aim of a 
research question that focuses on the 
independence between rank ordered 
and another variable.
Example 1
An iron man competition consists of three consecutive 
events: Biking 110 miles, Swimming 2.5 miles and 
Running 26.2 miles. 
Researchers are interested if the rank ordered results 
from the biking and the running events are 
independent of one another to show how diverse the 
athletes in the completion are. 
Here is the data for 10 individuals who competed.
An iron man competition consists of three consecutive 
events: Biking 110 miles, Swimming 2.5 miles and 
Running 26.2 miles. 
Race organizers are interested in showing the diversity 
in athlete abilities by determining if the rank ordered 
results from the biking and the running events are 
independent of one another. 
Here is the data for 10 individuals who competed.
An iron man competition consists of three consecutive 
events: Biking 110 miles, Swimming 2.5 miles and 
Running 26.2 miles. 
Race organizers are interested in showing the diversity 
in athlete abilities by determining if the rank ordered 
results from the biking and the running events are 
independent of one another. 
Here is the data for 10 individuals who competed.
Individuals Rank order for 
Biking Event 
Rank order for 
Running Event 
Bob 1st 1st 
Conrad 2nd 1st 
Dallen 2nd 2nd 
Ernie 3rd 3rd 
Fen 4th 4th 
Gaston 5th 4th
Individuals Rank order for 
Biking Event 
Rank order for 
Running Event 
Bob 1st 1st 
Conrad 2nd 1st 
Dallen 2nd 2nd 
Ernie 3rd 3rd 
Fen 4th 4th 
Gaston 5th 4th 
Note the 
tied 
rankings
Individuals Rank order for 
Biking Event 
Rank order for 
Running Event 
Bob 1st 1st 
Conrad 2nd 1st 
Dallen 2nd 2nd 
Ernie 3rd 3rd 
Fen 4th 4th 
Gaston 5th 4th 
Note the 
tied 
rankings
Individuals Rank order for 
Biking Event 
Rank order for 
Running Event 
Bob 1st 1st 
Conrad 2nd Note the 
1st 
Dallen 2nd tied 
2nd 
rankings 
Ernie 3rd 3rd 
Fen 4th 4th 
Gaston 5th 4th
Problem 
Are the rank ordered results from the biking and 
the running events are independent of one 
another? 
Template for a Kendall’s Tau Null-Hypothesis 
There is no statistically significant relationship 
between the [insert variable] and [insert 
variable].
Problem 
Are the rank ordered results from the biking and 
the running events are independent of one 
another? 
Template for a Kendall’s Tau Null-Hypothesis 
There is no statistically significant relationship 
between the median [insert variable] and the 
median [insert variable].
Problem 
Are the rank ordered results from the biking 
and the running events are independent of one 
another? 
Template for a Kendall’s Tau Null-Hypothesis 
There is no statistically significant relationship 
between the median [insert variable] and the 
median [insert variable].
Problem 
Are the rank ordered results from the biking 
and the running events are independent of one 
another? 
Template for a Kendall’s Tau Null-Hypothesis 
There is no statistically significant relationship 
between the median [biking even rankings] and 
the median [insert variable].
Problem 
Are the rank ordered results from the biking and 
the running events are independent of one 
another? 
Template for a Kendall’s Tau Null-Hypothesis 
There is no statistically significant relationship 
between the median [biking event rankings] 
and the median [running event rankings].
Template for a Kendall’s Tau Null-Hypothesis 
There is no statistically significant relationship 
between the median biking event rankings and 
the median running event rankings.

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Null hypothesis for Kendall's Tau (Independence)

  • 1. Null-hypothesis for a Kendall’s Tau Conceptual Explanation
  • 2. With hypothesis testing we are setting up a null-hypothesis –
  • 3. With hypothesis testing we are setting up a null-hypothesis – the probability that there is no effect or relationship –
  • 4. With hypothesis testing we are setting up a null-hypothesis – the probability that there is no effect or relationship – and then we collect evidence that leads us to either accept or reject that null hypothesis.
  • 5. As you may recall, a Kendall’s Tau is like a Pearson correlation but is used with Rank-ordered data.
  • 6. As you may recall, a Kendall’s Tau is like a Pearson correlation but is used with Rank-ordered data. Individuals Rank order for Biking Event Rank order for Running Event Bob 1st 1st Conrad 2nd 1st Dallen 2nd 2nd Ernie 3rd 3rd Fen 4th 4th Gaston 5th 4th
  • 7. As you may recall, a Kendall’s Tau is like a Pearson correlation but is used with Rank-ordered data. It differs from a Spearman’s Rho in that it handles tied rankings whereas Spearman’s does not.
  • 8. As you may recall, a Kendall’s Tau is like a Pearson correlation but is used with Rank-ordered data. It differs from a Spearman’s Rho in that it handles tied rankings whereas Spearman’s does not. Individuals Rank order for Biking Event Rank order for Running Event Bob 1st 1st Conrad 2nd 1st Dallen 2nd 2nd Ernie 3rd 3rd Fen 4th 4th Gaston 5th 4th
  • 9. Here is a template for writing a null-hypothesis for a Kendall’s Tau:
  • 10. Here is a template for writing a null-hypothesis for a Kendall’s Tau: There is no statistically significant relationship between the median [insert variable] and the median [insert variable].
  • 11. Here is a template for writing a null-hypothesis for a Kendall’s Tau : There is no statistically significant relationship between the median [insert variable] and the median [insert variable]. Note – as long as both or at least one of the variables has rank-ordered ties then a Kendall’s Tau would be used.
  • 12. Here is a template for writing a null-hypothesis for a Kendall’s Tau: There is no statistically significant relationship between the median [insert variable] and the median [insert variable]. You may remember that when rank-ordered variable is being compared with another variable the median is used.
  • 13. Here is a template for writing a null-hypothesis for a Kendall’s Tau : There is no statistically significant relationship between the median [insert variable] and the median [insert variable]. Also, the null-hypothesis is the aim of a research question that focuses on the independence between rank ordered and another variable.
  • 15. An iron man competition consists of three consecutive events: Biking 110 miles, Swimming 2.5 miles and Running 26.2 miles. Researchers are interested if the rank ordered results from the biking and the running events are independent of one another to show how diverse the athletes in the completion are. Here is the data for 10 individuals who competed.
  • 16. An iron man competition consists of three consecutive events: Biking 110 miles, Swimming 2.5 miles and Running 26.2 miles. Race organizers are interested in showing the diversity in athlete abilities by determining if the rank ordered results from the biking and the running events are independent of one another. Here is the data for 10 individuals who competed.
  • 17. An iron man competition consists of three consecutive events: Biking 110 miles, Swimming 2.5 miles and Running 26.2 miles. Race organizers are interested in showing the diversity in athlete abilities by determining if the rank ordered results from the biking and the running events are independent of one another. Here is the data for 10 individuals who competed.
  • 18. Individuals Rank order for Biking Event Rank order for Running Event Bob 1st 1st Conrad 2nd 1st Dallen 2nd 2nd Ernie 3rd 3rd Fen 4th 4th Gaston 5th 4th
  • 19. Individuals Rank order for Biking Event Rank order for Running Event Bob 1st 1st Conrad 2nd 1st Dallen 2nd 2nd Ernie 3rd 3rd Fen 4th 4th Gaston 5th 4th Note the tied rankings
  • 20. Individuals Rank order for Biking Event Rank order for Running Event Bob 1st 1st Conrad 2nd 1st Dallen 2nd 2nd Ernie 3rd 3rd Fen 4th 4th Gaston 5th 4th Note the tied rankings
  • 21. Individuals Rank order for Biking Event Rank order for Running Event Bob 1st 1st Conrad 2nd Note the 1st Dallen 2nd tied 2nd rankings Ernie 3rd 3rd Fen 4th 4th Gaston 5th 4th
  • 22. Problem Are the rank ordered results from the biking and the running events are independent of one another? Template for a Kendall’s Tau Null-Hypothesis There is no statistically significant relationship between the [insert variable] and [insert variable].
  • 23. Problem Are the rank ordered results from the biking and the running events are independent of one another? Template for a Kendall’s Tau Null-Hypothesis There is no statistically significant relationship between the median [insert variable] and the median [insert variable].
  • 24. Problem Are the rank ordered results from the biking and the running events are independent of one another? Template for a Kendall’s Tau Null-Hypothesis There is no statistically significant relationship between the median [insert variable] and the median [insert variable].
  • 25. Problem Are the rank ordered results from the biking and the running events are independent of one another? Template for a Kendall’s Tau Null-Hypothesis There is no statistically significant relationship between the median [biking even rankings] and the median [insert variable].
  • 26. Problem Are the rank ordered results from the biking and the running events are independent of one another? Template for a Kendall’s Tau Null-Hypothesis There is no statistically significant relationship between the median [biking event rankings] and the median [running event rankings].
  • 27. Template for a Kendall’s Tau Null-Hypothesis There is no statistically significant relationship between the median biking event rankings and the median running event rankings.