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This may seem confusing, but I'll try. When you collect data from a sample, you have to determine if the differences you found is so great that it is statistically significant in the population (whole). Differences will occur in data, but if they are not considered significant they are not useful. You would run certain inferential tests to see if something is significant. The test you run depends on the type of data you collect.
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Why do we have to be statistics-friendly?
As the word statistics it's collecting and analyzing data quantities, if we say statistics friendly it's like you are collecting data in a way that it's valuable and uniform, by making a proper decisions in a good manner.
What does inference mean in statistics?
It can be defined as followed. The conclusion reached on the basis of evidence.
3 ways of presenting data in statistics?
ways of presenting data in statistics
Why it is said all statistics are data but all data are not statistics?
All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.
What is general statistics?
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.[1] Statisticians improve the quality of data with the design of experiments and survey sampling. Statistics also provides tools for prediction and forecasting using data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business.^Based On Wikipedia...
