Heya,
I've encountered a difficulty with the first part of a question I was given. It's probably D) quite minor but I really need some input about it.
I was given an initial frequency table, comprising only of x and its cumulative frequency distribution. I have added f(x) myself accordingly.
The question asks me to remake the table making each class width = 500.
The answer sheet states that the upper category '0-1000' is divided exactly into 2 categories: 0-500 and 500-1000 and therefore its frequency is halved into 5 per class. Now, my question is, why should the frequency f(x) be halved? can't there be a situation where the observations (n) are scattered unevenly in this class? say, 4-6, 3-7 and so on.
I figured I can't find the exact location of x=500 using the percentile formula (Ck) in this case...
Anyone has any idea? Feeling quite stupid right now.
Thank you
I've encountered a difficulty with the first part of a question I was given. It's probably D) quite minor but I really need some input about it.
I was given an initial frequency table, comprising only of x and its cumulative frequency distribution. I have added f(x) myself accordingly.
x | f(x) | F(x) |
0-1000 | 10 | 10 |
1000-1500 | 10 | 20 |
1500-2000 | 20 | 40 |
2000-2400 | 10 | 50 |
2400-3000 | 30 | 80 |
3000-3500 | 20 | 100 |
The question asks me to remake the table making each class width = 500.
The answer sheet states that the upper category '0-1000' is divided exactly into 2 categories: 0-500 and 500-1000 and therefore its frequency is halved into 5 per class. Now, my question is, why should the frequency f(x) be halved? can't there be a situation where the observations (n) are scattered unevenly in this class? say, 4-6, 3-7 and so on.
I figured I can't find the exact location of x=500 using the percentile formula (Ck) in this case...
Anyone has any idea? Feeling quite stupid right now.
Thank you
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