Читать книгу Statistics in Nutrition and Dietetics - Michael Nelson - Страница 49

No one else is as interested in your data as you are. You must love your data, look after them carefully (think of the cuddly statistician), and cherish each observation. You must make sure that every observation collected is accurate, and that when the data are entered into a spreadsheet, they do not contain any errors. When you have entered all your data, you need to ‘clean’ your data, making sure that there are no rogue values, and that the mean and the distribution of values is roughly what you were expecting. Trapping the errors at this stage is essential. There is nothing worse than spending days or weeks undertaking detailed statistical analysis and preparing tables and figures for a report, only to discover that there are errors in your data set, meaning that you have to go back and do everything all over again.