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It means that the 'data' (i.e.: information or statistics) that is given or quoted, is subject to more than one interpretation, or that sources of the data give varying information for the same subject.
They may be measures such as the word length of sentences or the number of letters in words, or the total number of unique words in a corpus. Most authors usually have caharacteristic measures of such statistics and so they help to identify unknown authors.
* Probability * Correlation * Validity * Reliability * Variable * Frequency distribution
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.
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.