Use the table of individual statistics to assess the following properties of your data:

·    N<= - The number of observations for each level of the factor that are less than or equal to the overall median.

·    N> - The number of observations for each level of the factor that are greater than the overall median.

·    Median - The median of the observations for each level. These sample medians provide estimates of the population medians for each level.

·    Q3-Q1 - The interquartile range for each level of the factor (which is, like the variance, a measure of the spread of data). Mood's median test assumes that the population variances for all levels are equal. Thus, if the sample interquartile ranges differ by a lot, you might want to test the data for equality of variances.

·    Overall median - The median of all observations.

The results of the fish data analysis indicate that:

·    The median weight for fish is the smallest at 50 degrees F (18.0) and the largest at 46 degrees F (22.0).

·    The interquartile ranges for the different temperatures do not appear to vary enough from each other to be cause for concern.