Use the table of individual statistics to assess the following properties
of your data:
· N
- Number of observations for each level of the
factor.
· Overall
- Total number of observations
· Median
- Median of the observations for each level,
which provides an estimate of the population medians for each level
· Ave Rank
- Statistic that ranks the levels of data and
is used to determine the Kruskal-Wallis statistic
Example Output |

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Kruskal-Wallis Test on Beds
Hospital N Median Ave Rank Z
1 11 16.00 14.0 -1.28
2 11 31.00 23.3 2.65
3 11 17.00 13.7 -1.37
Overall 33 17.0
H = 7.05 DF = 2 P = 0.029
H = 7.05 DF = 2 P = 0.029 (adjusted for ties) |
Interpretation |

|
The results of the beds data analysis indicate that:
· The
median number of unoccupied beds is the smallest in the hospital 1 (16.00) and the largest in hospital 2 (31.00).
· Two
hospitals have ranks (14.0 and 13.7) close to the overall rank (17.0) while hospital 2's rank is 23.3, which may indicate
that hospital 2's occupancy rate is different from the other two.