how to use statistics and scoring

AndyF

Member
Are there any worked examples of how to use the statistics for flashcards?
I find the instructions not helpful.
eg i am studying hsk4 and used pleco app which is ace btw for 3 years, but i dont know what the numbers mean
are there any worked examples rather than just dry definitions out there?
i attached my scores and settings.

QUESTIONS:
(1) how are scores calculated as you repeatedly take self tests?
(2) average score over 8000 - what does this mean???
(3) how do i know if i am on track for hsk 4 say?
(4) What does average easiness 104 mean in practical terms? good? bad? meh?
(5) score ranges = awesome distribution function - what do i do with it?

it looks so cool but most of the posts seem to be by people who sound like advances database programmers whove used pleco for over 20 years... and it doesnt help me. learning chinese seems easier than learning pleco sometimes
:)
A
 

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mikelove

皇帝
Staff member
Sorry about that. Our statistics feature at the moment is... not great; we're beta-testing a new version with actual intelligible graphs and such, but the existing report goes all the way back to the Palm OS era.

Anyway:

1-2) That depends on how the test is configured, but in general the score is equivalent to an SRS interval in other flashcard systems - it starts at 100, jumps to around 400 on a first correct answer, roughly doubles on each subsequent correct answer and resets to 100 (= 1 day) on an incorrect one. So an 8000 average correct score means the average repetition interval is around 80 days and - per that doubling - the average card has been answered correctly around 6 times in a row.

3) If you pick 'category' at the top of that screen you can look at HSK 4 vocabulary specifically and what the statistics for that are like. In general I would say you want to have most of your cards at least in the 801-1600 range, if not higher.

4) It's fine, we're pretty gentle with easiness adjustments but basically it means you're answering most cards correctly.

5) Mostly useful with category filters, as I mentioned in 3 - you can see if there's a natural cluster at a higher level or a few cards at a lower one and you can even use a 'score filter' to do a test just on the cards with low scores.
 
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