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two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other.
eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other
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RafaIndependent samples are a set of observations or data points that are not influenced by or related to each other. Each sample is collected without affecting or being affected by the other samples, allowing for statistical analysis to make conclusions about a broader population. This lack of relationship between the samples is important for ensuring the validity of statistical tests and analyses.
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Why is the density of a substance independent of sample size?
Density is an intensive quantity which means it is independent of size. This can be seen from the definition of density. Density = mass/volume So if the sample size increases than so does the mass, but the density remains unchanged.
What is the scientific definition of an independent variable?
An independent variable in a scientific experiment is the variable that is manipulated or changed by the researcher. It is the factor that is being tested to see how it affects the dependent variable. The independent variable is what the researcher intentionally changes to observe its effect on the dependent variable.
Is the density of a mineral considered its mass divided by its volume?
Yes, the standard definition of density is mass divided by volume. This presumes the mineral is uniform throughout the sample.
What is the definition of natural law?
natural law is a law seen as being independent of the pre existenceto the positive law of any giving political order society
What is the definition of a density independent limiting factor?
A density-independent limiting factor is a factor that affects a population regardless of its size or density. These factors include natural disasters like wildfires, hurricanes, and droughts, which can reduce population size even if the population is small.
