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Null-hypothesis for Kruskal- 
Wallis Test (Conceptual) 
Explain
To illustrate how to write a null-hypothesis for a 
Kruskal-Wallis Test, let’s consider the following 
example:
Problem #1
A pizza café owner wants to know who eats 
more slices of pizza: football, basketball, or 
soccer players.
A pizza café owner wants to know who eats 
more slices of pizza: football, basketball, or 
soccer players. With this information she will 
determine how much inventory she needs 
during football and basketball seasons.
A pizza café owner wants to know who eats 
more slices of pizza: football, basketball, or 
soccer players. With this information she will 
determine how much inventory she needs 
during football and basketball seasons. She asks 
you to set up a study, collect the data, run the 
analysis and interpret the results for her.
A pizza café owner wants to know who eats 
more slices of pizza: football, basketball, or 
soccer players. With this information she will 
determine how much inventory she needs 
during football and basketball seasons. She asks 
you to set up a study, collect the data, run the 
analysis and interpret the results for her. After 
collecting the data you realize that there are 
some extreme outliers among basketball players 
that may skew the results.
A pizza café owner wants to know who eats 
more slices of pizza: football, basketball, or 
soccer players. With this information she will 
determine how much inventory she needs 
during football and basketball seasons. She asks 
you to set up a study, collect the data, run the 
analysis and interpret the results for her. After 
collecting the data you realize that there are 
some extreme outliers among basketball players 
that may skew the results. You determine to run 
a Kruskal-Wallis Test. How would you state the 
null-hypothesis?
Null Hypothesis for a KruskalWallis Test
Null Hypothesis for a KruskalWallis Test 
There is no statistically significant difference 
between the Median slices of pizza eaten byby 
football, basketball, and soccer players.
It’s time to practice:
Read the problem that follows and verbalize in your 
mind what the null-hypothesis would be
The effectiveness of advertising for three products 
(Brand X, Brand Y, and Brand Z) was compared.
The effectiveness of advertising for three products 
(Brand X, Brand Y, and Brand Z) was compared. 
Market research at a local shopping center was carried 
out, with the participants being shown advertisements 
for three brands of soda, which they then rated on the 
overall likelihood that they would buy the product (out 
of 10, with 10 being "definitely going to buy the 
product").
The effectiveness of advertising for three products 
(Brand X, Brand Y, and Brand Z) was compared. 
Market research at a local shopping center was carried 
out, with the participants being shown advertisements 
for three brands of soda, which they then rated on the 
overall likelihood that they would buy the product (out 
of 10, with 10 being "definitely going to buy the 
product"). 
1/3 of the participants gave ratings for Brand X , 1/3 
gave ratings for Brand Y , and a final 1/3 of the 
participants gave ratings for Brand Z.
Here is the data set:
Brand "X" Brand "Y" Brand "Z" 
Participant Rating Participant Rating Participant Rating 
1 3 7 1 13 10 
2 4 8 2 14 9 
3 2 9 1 15 9 
4 6 10 1 16 10 
5 2 11 3 17 8 
6 5 12 2 18 10
Template
There is no statistically significant difference between 
the median [insert dependent variable] by [insert first 
level of the independent variable], [insert second level 
of the independent variable], and [insert third level of 
the independent variable].
How would you state the null-hypothesis for this 
problem using this particular template?
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median [insert dependent variable] by [insert first level of 
the independent variable], [insert second level of the 
independent variable], and [insert third level of the 
independent variable].
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median [insert dependent variable] by [insert first level of 
the independent variable], [insert second level of the 
independent variable], and [insert third level of the 
independent variable].
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median likelihood to buy the product by [insert first level 
of the independent variable], [insert second level of the 
independent variable], and [insert third level of the 
independent variable].
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median likelihood to buy the product by [insert first level 
of the independent variable], [insert second level of the 
independent variable], and [insert third level of the 
independent variable].
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median likelihood to buy the product by Brand X, [insert 
second level of the independent variable], and [insert 
third level of the independent variable].
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median likelihood to buy the product by Brand X, Brand Y, 
and [insert third level of the independent variable].
The effectiveness of advertising for three products (Brand X, 
Brand Y, and Brand Z) were compared. Market research at a 
local shopping center was carried out, with the participants 
being shown advertisements for three brands of soda, which 
they then rated on the overall likelihood that they would buy 
the product (out of 10, with 10 being "definitely going to buy 
the product"). 1/3 of the participants gave ratings for Brand X , 
1/3 gave ratings for Brand Y , and a final third of the 
participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median likelihood to buy the product by Brand X, Brand Y, 
and Brand Z.
for Brand X , 1/3 gave ratings for Brand Y , and a final third of 
the participants gave ratings for Brand Z. 
There is no statistically significant difference between the 
median likelihood to buy the product by Brand X, Brand Y, 
and Brand Z.

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Null hypothesis for Kruskal Wallis Test

  • 1. Null-hypothesis for Kruskal- Wallis Test (Conceptual) Explain
  • 2. To illustrate how to write a null-hypothesis for a Kruskal-Wallis Test, let’s consider the following example:
  • 4. A pizza café owner wants to know who eats more slices of pizza: football, basketball, or soccer players.
  • 5. A pizza café owner wants to know who eats more slices of pizza: football, basketball, or soccer players. With this information she will determine how much inventory she needs during football and basketball seasons.
  • 6. A pizza café owner wants to know who eats more slices of pizza: football, basketball, or soccer players. With this information she will determine how much inventory she needs during football and basketball seasons. She asks you to set up a study, collect the data, run the analysis and interpret the results for her.
  • 7. A pizza café owner wants to know who eats more slices of pizza: football, basketball, or soccer players. With this information she will determine how much inventory she needs during football and basketball seasons. She asks you to set up a study, collect the data, run the analysis and interpret the results for her. After collecting the data you realize that there are some extreme outliers among basketball players that may skew the results.
  • 8. A pizza café owner wants to know who eats more slices of pizza: football, basketball, or soccer players. With this information she will determine how much inventory she needs during football and basketball seasons. She asks you to set up a study, collect the data, run the analysis and interpret the results for her. After collecting the data you realize that there are some extreme outliers among basketball players that may skew the results. You determine to run a Kruskal-Wallis Test. How would you state the null-hypothesis?
  • 9. Null Hypothesis for a KruskalWallis Test
  • 10. Null Hypothesis for a KruskalWallis Test There is no statistically significant difference between the Median slices of pizza eaten byby football, basketball, and soccer players.
  • 11. It’s time to practice:
  • 12. Read the problem that follows and verbalize in your mind what the null-hypothesis would be
  • 13. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) was compared.
  • 14. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) was compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product").
  • 15. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) was compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final 1/3 of the participants gave ratings for Brand Z.
  • 16. Here is the data set:
  • 17. Brand "X" Brand "Y" Brand "Z" Participant Rating Participant Rating Participant Rating 1 3 7 1 13 10 2 4 8 2 14 9 3 2 9 1 15 9 4 6 10 1 16 10 5 2 11 3 17 8 6 5 12 2 18 10
  • 19. There is no statistically significant difference between the median [insert dependent variable] by [insert first level of the independent variable], [insert second level of the independent variable], and [insert third level of the independent variable].
  • 20. How would you state the null-hypothesis for this problem using this particular template?
  • 21. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median [insert dependent variable] by [insert first level of the independent variable], [insert second level of the independent variable], and [insert third level of the independent variable].
  • 22. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median [insert dependent variable] by [insert first level of the independent variable], [insert second level of the independent variable], and [insert third level of the independent variable].
  • 23. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median likelihood to buy the product by [insert first level of the independent variable], [insert second level of the independent variable], and [insert third level of the independent variable].
  • 24. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median likelihood to buy the product by [insert first level of the independent variable], [insert second level of the independent variable], and [insert third level of the independent variable].
  • 25. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median likelihood to buy the product by Brand X, [insert second level of the independent variable], and [insert third level of the independent variable].
  • 26. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median likelihood to buy the product by Brand X, Brand Y, and [insert third level of the independent variable].
  • 27. The effectiveness of advertising for three products (Brand X, Brand Y, and Brand Z) were compared. Market research at a local shopping center was carried out, with the participants being shown advertisements for three brands of soda, which they then rated on the overall likelihood that they would buy the product (out of 10, with 10 being "definitely going to buy the product"). 1/3 of the participants gave ratings for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median likelihood to buy the product by Brand X, Brand Y, and Brand Z.
  • 28. for Brand X , 1/3 gave ratings for Brand Y , and a final third of the participants gave ratings for Brand Z. There is no statistically significant difference between the median likelihood to buy the product by Brand X, Brand Y, and Brand Z.