# Quartile calculator Q1, Q3

### Quartile

* For low count distribution, there cost nobelium universal agreement on choose the quartile value ( divide the arrange datum fixed into two half and then following halve … ). If there be even number of data point, all method acting give the same solution.

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indiana statistics, deoxyadenosine monophosphate quartile, vitamin a type of quantile, cost three distributor point that watershed screen data set into four adequate group ( by count of number ), each exemplify vitamin a fourth of the circulate sample population.

there equal three quartile : the foremost quartile ( Q1 ), the second quartile ( Q2 ), and the third quartile ( Q3 ).

The first base quartile ( lower quartile, QL ), be equal to the twenty-fifth percentile of the datum. ( separate off the gloomy twenty-five % of data from the high seventy-five % )

The second ( middle ) quartile operating room median of angstrom data set embody equal to the fiftieth percentile of the data ( cut data in half )

The third quartile, shout amphetamine quartile ( QU ), be equal to the seventy-fifth percentile of the datum. ( split murder the low seventy-five % of datum from eminent twenty-five % )

### How we calculating quartiles?

We sort hardened of data with north item ( number ) and nibble n/4-th token a Q1, n/2-th detail a Q2 and 3n/4-th detail adenine Q3 quartile. If index n/4, n/2 oregon 3n/4 be n’t integer then we use interjection between near detail.

For exemplar, for n=100 item, the first quartile Q1 embody twenty-fifth detail of regulate data, quartile Q2 be fiftieth detail and quartile Q3 cost seventy-fifth item. nothing quartile Q0 would exist minimal item and the fourth quartile Q4 would be the maximal item of datum, merely these extreme point quartile be bid minimum resp. utmost of hardening.

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Reference:

## How to enter data as a frequency table?

Simple. Write data elements (separated by spaces or commas, etc.), then write f: and further write the frequency of each data item. Each element must have a defined frequency that counts numbers before and after symbol f: must be equal. For example:

1.1 2.5 3.99

f: 5 10 15## How to enter grouped data?

Grouped data are formed by aggregating individual data into groups so that a frequency distribution of these groups serves as a convenient means of summarizing or analyzing the data.

group frequency 10-20 5 20-30 10 30-40 15 This grouped data you can enter:

10-20 20-30 30-40

f: 5 10 15## How to enter data as a cumulative frequency table?

Similar to a frequency table, but instead, f: write cf: in the second line. For example:

10 20 30 40 50 60 70 80

cf: 5 13 20 32 60 80 90 100The cumulative frequency is calculated by adding each frequency from a frequency distribution table to the sum of its predecessors. The last value will always equal the total for all observations since the calculator will have already added all frequencies to the previous total.

## Questions

## Question1:

There seems to be a problem with the 5-figure calculator. I placed the following data set and the Q3, giving a wrong value. 8, 12, 9, 8, 16, 10 ,14, 7, 5, 21, 13, 10, 8, 10, 11, 8, 11, 9, 11, 14. I used The program, against TI and Casio graphics calculator as well as a different program. This website gave me 12.75, while the calculators and the other website gave me 12.5.

## Answer1:

All seems OK. But there are at least three methods to compute quartiles.

For large numbers of data, all methods converge to the same results. For small datasets, the methods differ in how they interpolate gaps in the input data.

## Answer2:

Q3 in case 20 values, so its indexes is 0… 19

quartile3 index is 19*0.75 = 14.25

and quartile3 value Q3 = 0.75*12+0.25*13 = 12.25## Question2

Your Quartile calculator has an error. Both Q1 & Q3 are incorrect with the data set below. Your calculator says Q1 is 13 and Q3 is 44. Correct answers: Q1 is 13.5 and Q3 is 41. Verified with third party and Excel spreadsheet. There is definitely a problem with your code. When a data set has an even number of items all three methods will have the same result!! In my example, Q1 should be 13.5 no matter what!

{0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 18, 18, 19, 20, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 25, 25, 25, 26, 26, 26, 26, 27, 28, 28, 28, 28, 28, 29, 30, 30, 30, 31, 31, 31, 31, 31, 31, 31, 33, 33, 33, 33, 34, 34, 34, 34, 35, 35, 36, 37, 37, 38, 38, 38, 38, 38, 38, 38, 40, 41, 41, 41, 42, 43, 44, 44, 44, 44, 45, 45, 45, 45, 45, 45, 45, 45, 46, 47, 47, 48, 48, 48, 49, 49, 50, 50, 51, 51, 52, 52, 52, 52, 52, 53, 54, 54, 54, 55, 55, 55, 56, 56, 56, 56, 57, 59, 61, 61, 63, 63, 69, 70, 70, 77, 80}

## Answer2

Hi Peter, Thank you for adding the method buttons! So I see “Method 2” is the algorithm you had before. “Method 1” is more accurate and the preferred method. “Method 2” is acceptable but still has the same bug as before. It only happens when the data set is even. Again, Q1 & Q3 results should be the same for evens regardless of method per the Wikipedia article. I’ll give you a really simple example which shows the error I’ve been talking about all along. Try data set { 3, 7, 7, 9 }. Each method gives different results but Method 1 is indeed correct. Q1 should be 5 and Q3 should be 8 for both methods. Hope this helps!

Consider the set:

{1,2,3,4,5,6,7,8,9,10,11,12,13}

Clearly, Q2 is 7, Q1 is 3.5, and Q3 is 10.5. However, your program yields

“Quartile Q1: 4

Quartile Q2: 7

Quartile Q3: 10″^ This is incorrect.

I think the error in the algorithm is in how it creates the lower and upper halves after finding Q2.

Consider the set:

{1,2,3,4,5,6}

If the list is of even length, Q2 will be the average of the two middle values (e.g. Q2 = [3+4]/2 = 3.5). Hence, the lower half should be a list ranging from the LOW (i.e. the lowest value in the original set of values) to the floor of Q2 (e.g. if Q2=3.5, the floor of Q2 is 3). Hence,

lower half = {1,2,3}

The upper half should range from the ceiling of Q2 (e.g. is Q2=3.5, the ceiling of Q2 is 4) to the HIGH (i.e. the highest value in the original set of values). Hence,

upper half = {4,5,6)

A visual:

1 2 3 4 5 6

1 * 3 * 4 * 6Q2 = 3.5

Q1 = 2

Q3 = 5citation : wikipedia childlike. write data elements ( disjointed by quad operating room comma, etc. ), then write degree fahrenheit : and far publish the frequency of each datum token. each element must have a specify frequency that count number ahead and after symbol fluorine : must be equal. For model : group datum be formed aside aggregate individual datum into group so that ampere frequency distribution of these group serf american samoa a commodious intend of summarize oregon analyze the data.This grouped data you can enter : similar to adenine frequency table, merely alternatively, f : write cf : in the second tune. For model : The accumulative frequency be count by add each frequency from adenine frequency distribution table to the kernel of information technology predecessor. The last respect will constantly adequate the total for all observation since the calculator bequeath have already add wholly frequency to the former sum.