Hey everyone,
A bit stuck, attempting to do a statistical analysis for this research paper for my undergrad. I am basically looking at 3 variables: major axis, minor axis, and area.
These three variables are from a shotspread. Basically looking at shotgun pellet dispersion from different positions. I have 10 sets of data for each position. The positions are based on different angles and distances. The distances: 0.02, 0.5, 1, 2, and 4 m, and each distance shot at the angles of: 90, 60, and 30 degrees.
I would think that this is best done with a MANOVA, just not sure how to do it. Basically I want to check if the major, minor, and area for each position can be differentiated from that of another position.
Any help would be greatly appreciated. I just want to see if it is possible, based on those variables, to predict a shooter position. So I want to make sure that at least one of the three variables is significantly different. Thanks so much, been stuck for ages
A bit stuck, attempting to do a statistical analysis for this research paper for my undergrad. I am basically looking at 3 variables: major axis, minor axis, and area.
These three variables are from a shotspread. Basically looking at shotgun pellet dispersion from different positions. I have 10 sets of data for each position. The positions are based on different angles and distances. The distances: 0.02, 0.5, 1, 2, and 4 m, and each distance shot at the angles of: 90, 60, and 30 degrees.
I would think that this is best done with a MANOVA, just not sure how to do it. Basically I want to check if the major, minor, and area for each position can be differentiated from that of another position.
Any help would be greatly appreciated. I just want to see if it is possible, based on those variables, to predict a shooter position. So I want to make sure that at least one of the three variables is significantly different. Thanks so much, been stuck for ages