Question

A cellular phone company monitors monthly phone usage. The following data represent the monthly phone use in minutes of one p

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Answer #1

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 = \bar{X}  - X/n

= [339 + 456 + 446 + 472 + 449 + ............ + 408 + 496] / 20

= 9294 / 20

= 464.7

\bar{X} = 464.7

Standard deviation= S = (1 – 4)/(X-X)

= (339 - 464.7)2 + (456 - 464.7)2 + (446 – 464.7)2 + (472 - 464.7)2.............. + (408 - 464.7)2 + (496 - 464.7)2/20 - 1)= (-125.7)2 + (-8.7)2 + (-18.7)2 + (7.3)2.............. + (-56.7)2 + (31.3)2/19== 15800.494 75.69 +349.69 + 53.29+..... + 3214.894979.69/19= 71524.2/19

= V3764.432

=61.355

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= Q_{1} = (449 + 456) / 2 = 905 / 2 = 452.5

Q_{1} = 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

Q3 = 482

Q_{2} is nothing but the median of all complete data.

Formula to calculate interquartile range of data is :

IQR = Q3 - Q1 = 482 - 437 = 45

IQR = 45

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