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Prediction... Foretelling... Extrapolation...
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".
An inference is a logical conclusion based on observations. A generalization is a logical conclusion based on many observations and data. The difference between the two is that inferences deal with specifics pertaining to the experiment being worked on, while generalizations are more "general" and apply more to the idea than the specific experiment.
A comparison distribution type is what we use to make inferences from the data of our study or experiment. The researcher uses the comparison distribution to determine how well the distribution can be approximated by the normal distribution. Hypothesis testing is very important for every statistical test.
Not necessarily. The UK Census (not sample) collects descriptive statistics such as level of education, ethnic identity, religious beliefs and so on.
comparison between Airbus380 & Airbus300
Implications refer to the potential consequences or effects of something, while inferences are conclusions or interpretations drawn based on available information. Implications are typically broader and can encompass a range of possible outcomes, while inferences are specific interpretations made based on evidence or reasoning.
The Tagalog word for "inferences" is "mga palagay."
there is no comparison between them as far as i know
what is the comparison between Hubble telescope and Galileo telescope
Comparison happens after evaluation. Without evaluation ther is no comparison
Scientific inferences are based on observations