Why are measures of variability essential to inferential statistics?
inferential could mean to evolve or you could see the resemblance, or you could also put it like this deduced or deducible.
powerful mind
Descriptive and inferential
Inferential statistics, is used to make claims about the populations that give rise to the data we collect. This requires that we go beyond the data available to us. Consequently, the claims we make about populations are always subject to error; hence the term "inferential statistics" and not deductive statistics.
There is no inferential data. There is inferential statistics which from samples, you infer or draw a conclusion about the population. Hypothesis testing is an example of inferential statistics.
Why are measures of variability essential to inferential statistics?
inferential statistics allows us to gain info about a population based on a sample
Inferential statistics uses data from a small group to make generalizations or inferences about a larger group of people. Inferential statistics should be used with "inferences".
One advantage of inferential statistics is that large predictions can be made from small data sets. However, if the sample is not representative of the population then the predictions will be incorrect.
inferential could mean to evolve or you could see the resemblance, or you could also put it like this deduced or deducible.
powerful mind
Descriptive and inferential
Level of measurement most inferential statistics rely upon is ratio.
Deduced or deducible by inference.
yes
yes