In order to compare two scales, 30 objects are weighed on both scales. Each object would then have two weight values (one from scale 1 and one from scale 2). Based on the nature of the differences in the two weight measurements for the 30 objects, the two scales may be compared. Do these samples represent dependent or independent samples?
The independent variables here are the objects themselves, while the dependent variables are the readings of their weights.
the measurements of the objects' weights are dependent on the actual (true) weights of the objects
the true weights are independent variables
I'm curious as to which "samples" the question refers to
To determine whether these samples represent dependent or independent samples, we need to consider the relationship between the two weight measurements for each object.
If the weight measurements for each object on both scales are completely unrelated and do not depend on each other, then the samples represent independent samples. In this case, the weight of an object on one scale does not influence or affect the weight of the same object on the other scale.
However, if the weight measurements for each object on both scales are related or dependent on each other, then the samples represent dependent samples. In this case, the weight of an object on one scale is connected or influenced by the weight of the same object on the other scale.
In the given scenario, where 30 objects are weighed on both scales, each object has two weight values – one from scale 1 and one from scale 2. Since the weight of an object on one scale is likely to be related or dependent on the weight of the same object on the other scale (e.g., due to calibration differences or measurement error), these samples are considered dependent samples.