Answer :
Given data is :
Sample size n = 20
339 | 456 | 446 | 472 | 449 |
425 | 478 | 521 | 545 | 445 |
549 | 556 | 468 | 367 | 431 |
505 | 544 | 394 | 408 | 496 |
From the data we need to find the standard deviation S :
First find mean =
= [339 + 456 + 446 + 472 + 449 + ............ + 408 + 496] / 20
= 9294 / 20
= 464.7
= 464.7
Standard deviation= S =
S = 61.355
Next we need to find interquartile range of data :
Take first 10 numbers :
339 | 456 | 446 | 472 | 449 | 425 | 478 | 521 | 545 | 445 |
Sort this data into ascending order to find median :
339 | 425 | 445 | 446 | 449 | 456 | 472 | 478 | 521 | 545 |
Median of first 10 data numbers= = (449 + 456) / 2 = 905 / 2 = 452.5
= 437
Now take remaining 10 numbers :
549 | 556 | 468 | 367 | 431 | 505 | 544 | 394 | 408 | 496 |
We need to sort the above data to find the median :
367 | 394 | 408 | 431 | 468 | 496 | 505 | 544 | 544 | 549 |
Median of above 10 numbers = ( 468 + 496) / 2 = 964 / 2 = 482
is nothing but the median of all complete data.
Formula to calculate interquartile range of data is :
IQR = = 482 - 437 = 45
IQR = 45
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