I am applying Tukey Kramer on a data problem. Actually, there are 5 treatments that i want to compare and 1 is control. Out of 5 treatments, 1 treatment value is closer to control. The value of response for 4 treatments ranges between 50-400. Control and other treatment value ranges between 2200-2800. When I apply Tukey kramer on all 6 treatments, there is no significance between 4 low value treatments but they are significant from other 2 treatments. When I performed Tukey Kramer on other 4 low value treatments, there shows a significance among the treatments. The data is variable over time. Is it possible? I would really appreciate any help and suggestions, please. I am defending soon and have to add the analysis into it. Thanks in advance for any help. ]]>

I have the statistical research data. I have 6 treatments with 3 boxes for each treatment. I am raining on the treatments every week and collecting data. The data is variable within boxes and also with time. For eg: on 20 July, value for seeded treatment was 4500 and after the end of August, the value becomes 2000 with the increase in vegetation. The standard deviation of the treatment for the whole study period is sometimes more than mean due to higher variability. the sample size for the whole study period is close to 350. The data comes out to be normal. out of 6 treatments, 4 treatments have very lower values than other 2 treatments. for eg: 4 treatments have the values in range of 50-500 and other 2 have the values in range of 2200-2500. When I performed Tukey Kramer on all 6 treatments, there is no significance among the 4 treatments. When I apply Tukey Kramer on just the 4 low value treatments, there is some significance among the treatments. How is it possible? What exact analysis or test can I perform on this kind of data? I would be highly obliged if someone has some suggestions or solutions. I need to defend soon and i need to finish this statistical analysis.

Thanks, ]]>

I am trying to solve following problem. I've got a data, which has a skewed distriubution (see attachment Attachment 4876)

Now I can not find, how to interprate correctly the central tendency of this kind of data, because, probably this type of distribution is specific or I can't find the name of distribution. Offcourse I have no Idea which meassure of variance should I use.

Please, does anybody know how to correctly descript this data?

Thank you for your consideration

Regards

N.