There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
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The statistics methods are loosely categorised in two separate concepts. 1. descriptive Statistics 2. Inferencial Statistics Any treatment of data leading to collection presentation and summaries of numerical data is known as descriptive statistics. Making general statements from the study of particular cases, or nay treatment of data that leads to prediction or inference concerning a larger group of data, is known as inferential statistics.
They are methods for analysing statistics in which that data are, respectively, qualitative and quantitative.
There are clear advantages to the deductive method. These include that the person is more likely to learn and remember how they got to the answer in the future and also they remember the stages they have gone through. A major disadvantage is that it does take longer than other methods.
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Statistics as a science can be divided into two main classes, namely, statistical methods and applied statistics.