Question

In: Statistics and Probability

A Company manufactures an insulation stripping tool that peels insulation from electric wiring 1/8” to 1/4”...

A Company manufactures an insulation stripping tool that peels insulation from electric wiring 1/8” to 1/4” in diameter. A sample of sixteen tools were randomly selected from the warehouse in order to test the pull-force (in pounds) of the product. The pull-forces of the sixteen tools are shown below:
12.6 12.9 13.4 12.3 13.6 13.5 12.6 13.1 12.5 13.2 13.0 12.5 13.5 12.4 12.2 12.7
Determine: Mean, Median, Qaurtile1, Qaurtile3, Range, S.E.M., Mode, Outlier(s), Variance, Standard Deviation,
Inter-Quartile Range, Max & Min. Note: All calculations must be shown.

Solutions

Expert Solution

(1)

Mean = 206/16 = 12.875

(2)

Arranging data in ascending order, we get

12.2, 12.3, 12.4, 12.5, 12.5, 12.6, 12.6, 12.7, 12.9, 13.0, 13.1, 13.2, 13.4, 13.5, 13.5, 13.6

n = 16

Median = (16 + 1)/2 th item = average of 8th & 9th items= (12.7 + 12.9)/2 = 12.8

So,

Median = 12.8

(3)

Bottom half is:

12.2, 12.3, 12.4, 12.5, 12.5, 12.6, 12.6, 12.7

The middle of these numbers = 12.5

So,

Quartile1 = Q1 = 12.5

(4)

Upper half is:

12.9, 13.0, 13.1, 13.2, 13.4, 13.5, 13.5, 13.6

Middle of these numbers = 13.3

So,

Quartile 3 = Q3 = 13.3

(5)

Range = Maximum - Minimum = 13.6 - 12.2 = 1.4

(6)

S.E.M.= Standard Error of Mean = Standard Deviation/

                                                = 0.4640/ = 0.116

(7)

Mode = 12.5, 12.6, 13.5

since these 3 values occur 3 times

(8)

IQR = Q3- Q1 = 13.3 - 12.5 = 0.8

Lower = Q1 - 1.5 IQR = 12.5 - (1.5 X 0.8) = 12.5 - 1.2 = 11.3

Upper = Q3 + 1.5 IQR = 13.3 + (1.5 X 0.8) = 13.3 + 1.2 = 14.5

Since all values are within these limits, there are no outliers.

(9)

x (x- (x - )2
12.6 - 0.275 0.0756
12.9 0.025 0.0001
13.4 0.525 0.2756
12.3 - 0.575 0.3306
13.6 0.725 0.5256
13.5 0.625 0.3906
12.6 - 0.275 0.0756
13.1 0.225 0.0506
12.5 - 0.375 0.1406
13.2 0.325 0.1056
13.0 0.125 0.0156
12.5 - 0.375 0.1406
13.5 0.625 0.3906
12.4 - 0.475 0.2256
12.2 - 0.675 0.4556
12.7 - 0.175 0.0306
Total = 3.23

Variance = 3.23/15= 0.2153

(10)

Standard deviation =

(11)

Inter-Quartile Range = IQR = Q3- Q1 = 13.3 - 12.5 = 0.8

(12)

Max= 13.6

Min = 12.2


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