Get quartiles and a half of the data

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The following table shows a frequency distribution of the scores obtained in a test.

Punctuation           (3, 4] (4, 5] (5, 6] (6, 7] (7, 8] (8, 9] (9, 10]
Number of participants  2      4      10     20     40     35      9

(a) The highest score reached by the bottom 20% of the participants and the score lowest obtained by the top 25% of the participants

(b) The quartiles of the distribution

For section a) to be continuous variables that can have any value within a range what I do is calculate the average for that 20%, that is to say who is in position 24. I calculate the relative frequency (that for this I need to know the absolute frequency) and multiplied it by the midpoint of the interval. I am applying according to the definition and the formula, but I am stuck.

It is a note that is between (6,7] and the average I get 0.1, so the note would be 6.1.

For b) of the quartiles I get that 1 is in (6,7], 2 is in (7,8] and 3 is in (8,9), but I do not know how to get the exact note

I've done it that way, but I do not know if it's okay since it's the first time I've done something similar, can someone verify it?

a) I have the table

Class | partici | Ni
3-4   |     2   | 2
4-5   |     4   | 6
5-6   |    10   | 16
6-7   |    20   | 36
7-8   |    40   | 76
8-9   |    35   | 111
9-10  |     9   | 120

For The highest score reached by the bottom 20% of the participants means the 20th percentile so

P20 = 6+ ((0,20*120)-16)*1 /20 = 6,4 score

The lowest score obtained by the top 25% of the participants means the 75th percentile, so it is calculated in the same way

P75 = 8 + ((0,75*120)-76)*1 /35 = 8,4 score

b)

For the quartiles, it is the same as calculating the percentiles for 25% 50% and 75%. Q2 is equal to the median

Q1 = 6 + ((0,25*120)-16)*1 /20 = 6,7 score

Q2 = 7 + ((0,5*120)-36)*1 /40 = 7,6 score

Q3 = 8 + ((0,75*120)-76)*1 /35 = 8,4 score =P75 (From the section a-))
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You have identified correctly the intervals the $20\%$ point and the quartiles fall in. That is all you can really say. If you assume the scores in the $(6,7]$ interval are evenly distributed the $20\%$ score will be $6.4$ as you say because you want the $8^{th}$ score of $20$ in that interval. It could be that all the $20$ scores in the interval are $6.1$ or it could be that they are $6.9$. You don't have the data to distinguish between these possibilities.

You dealt with the quartiles the same way and the same comment applies to them.