Hi, I need to carry out a statistical test. The experiment I did was the effect of colour of light on seedling growth, the data is cm. I carried out the chi squared test but it came out as 50% probability but there is a significant difference between red/blue & green/yellow. I asked my tutor if it would work for more than 2 groups and he said it would but I am not sure ?? I attached my data so you can get a better idea of what i'm talking about.
Hi, I need to carry out a statistical test. The experiment I did was the effect of colour of light on seedling growth, the data is cm. I carried out the chi squared test but it came out as 50% probability but there is a significant difference between red/blue & green/yellow. I asked my tutor if it would work for more than 2 groups and he said it would but I am not sure ?? I attached my data so you can get a better idea of what i'm talking about.
please help
What was your alpha and what was your degrees of freedom (v)?
from what i've read about degree of freedom on the internet I think it's 4 as I have 5 groups, right?
this is a biology experiment by the way so I don't have statistical knowledge
Sorry I just caught your edit.
You set the alpha, or significance you are looking at. For example if you are testing at a 0.05 significance level, you find that alpha and read down the table to your degrees of freedom.
Then look to see if your Chi^2 is greater or lesser and whether you accept your null or alternative hypothesis.
my tutor said both chi squared and man whitney u test would be suitable. is there any statistical test that would be suitable?
I think it would be suitable but you would have to arrange your raw data into categories. You are measuring seedling growth in cm right?
For that to work you would need your data tabulated keeping the current columns as they are, but your rows would be something like 0< cm >1 and 1< cm >2 and then you count them as a frequency.
If you are unsure, is it possible for you to show me your raw data?
I think it would be suitable but you would have to arrange your raw data into categories. You are measuring seedling growth in cm right?
For that to work you would need your data tabulated keeping the current columns as they are, but your rows would be something like 0< cm >1 and 1< cm >2 and then you count them as a frequency.
If you are unsure, is it possible for you to show me your raw data?