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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.
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
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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.
the mean is affected by outliers
Official statistics are more likely to be correct and upto date, however because it is government controlled they maybe bias or not showwing the simple data.
If we're talking about statistics: There is no superior observational study, each study has its advantages and disadvantages.
Descriptive statistics are very useful for showing and summarizing data when any complex models are nit needed. However, it does not explain the relationship between two or more pieces of data and it does not leave any room to explain randomness in the data.
The advantages of using weighted averages are that it smooths out fluctuations due to statistical outliers. The disadvantage is that this gives a uniformity in the statistics and can make it difficult to project trends.
The two main branches of statistics is Descriptive statistics and inferential statistics.
Statistics is quantative analysis tool and therefore only looks a general trends for patterns such as the correlation between two things (such as crime and poverty) with out examining the minutiae of individuals experiences. The other form of analysis is qualitative research, which would comprise things such as case studies, observations or in-depth interviews with the group being analysed. Also statistics can show a link between two things with out finding out which causes which.
There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.