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
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.
An independent variable is not affected by the change of another independent variable. To make an experiment, you generally try to change each independent variable in its turn, leaving other independent variables constant, getting the result (the dependent variable) which was chosen. The results can be exhibited as graphs, where the independent variable serves as abscissa or a parameter, or tables
Yes, the standard definition of density is mass divided by volume. This presumes the mineral is uniform throughout the sample.
natural law is a law seen as being independent of the pre existenceto the positive law of any giving political order society
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.
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.
A biased sample is a Statistical Sample in which the sample is biased or have more samples of the things that is being influenced.
A sample is Unbiased if everyone in the sample have an equal chance of being selected
to cover up
That is the definition of a statistic
the space used to show a sample promblem.
Random Sample
A probability sample is one in which each member of the population has the same probability of being included. An alternative and equivalent definition is that it is a sample such that the probability of selecting that particular sample is the same for all samples of that size which could be drawn from the population.
There is no such term. The regression (or correlation) coefficient changes as the sample size increases - towards its "true" value. There is no measure of association that is independent of sample size.
normal, SRS, independent normal, SRS, independent
A piece of a whole.
yes