There is a test to examine the usage of different English words by male and female students. So there are two columns of data (male and female students), 30 rows(each row is the frequency of different English words used by male and female students). I find an online chi-square calculator, which asks to input data into the 4 blanks. If I want to calculate whether there is a significant difference in each row, how should I input the data correctly? Thank you!
A basic question about chi-square test
- Thread starter rkm567
- Start date
- Tags calculator chi sq test mathematical statistics statisitcs help needed
It would seem that the online calculator can only handle 2x2 tables (2 rows x 2 cols).
This for example can handle larger tables:
https://www.icalcu.com/stat/chisqtest.html
This for example can handle larger tables:
https://www.icalcu.com/stat/chisqtest.html
Thank you for your detailed reply! But may I ask my questions again more clearly?
Here is a reference paper in which the total number of words in NS and NNS is 114022 and 149574 respectively. The "x2" value calculated like that is exactly what I am looking for. I input the data like this but the result is wrong. Which step should be corrected?
Here is a reference paper in which the total number of words in NS and NNS is 114022 and 149574 respectively. The "x2" value calculated like that is exactly what I am looking for. I input the data like this but the result is wrong. Which step should be corrected?
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So, seemingly you want to perform 30 comparisons. That could be done with
one-sample Chi² tests. The idea is this: "finally" was used 38 times. If there was
no association with gender, then one would expect 19 "finally" by males and
19 "finally" by females. The actual distribution (23/18) is compared with the
expected distribution.
One remaining problem would be that 30 tests bear 30 risks of a false-positive
result. You should maybe use a more conservative signficance level than
the common 5%, e.g. 1% instead.
With kind regards
Karabiner
one-sample Chi² tests. The idea is this: "finally" was used 38 times. If there was
no association with gender, then one would expect 19 "finally" by males and
19 "finally" by females. The actual distribution (23/18) is compared with the
expected distribution.
One remaining problem would be that 30 tests bear 30 risks of a false-positive
result. You should maybe use a more conservative signficance level than
the common 5%, e.g. 1% instead.
With kind regards
Karabiner
Thank you for your detailed reply! But may I ask my questions again more clearly?
Here is a reference paper in which the total number of words in NS and NNS is 114022 and 149574 respectively. The "x2" value calculated like that is exactly what I am looking for. I input the data like this but the result is wrong. Which step should be corrected? Thank you again!
Here is a reference paper in which the total number of words in NS and NNS is 114022 and 149574 respectively. The "x2" value calculated like that is exactly what I am looking for. I input the data like this but the result is wrong. Which step should be corrected? Thank you again!
Attachments
A/B or male/female data is another example in my paper. I was to take that for example to ask you guys, but then I think it would be clearer to quote the example in the thesis I read before.
I want to get the x2 value like that thesis does, but when I calculated the data in that thesis, I got the wrong x2 value. So I think maybe the x2 value in my paper that I calculated is wrong too.
I want to get the x2 value like that thesis does, but when I calculated the data in that thesis, I got the wrong x2 value. So I think maybe the x2 value in my paper that I calculated is wrong too.