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A Firm Is Studying the Effect of Work Shift and Parts

question 104

Multiple Choice

A firm is studying the effect of work shift and parts supplier on its defect rate (dependent variable is defects per 1000) . The resulting ANOVA results are shown below (some information is missing) .  Source  Sum of Squares df Mean Square F P-Value  Shift 704.072352.0411.930.001 Supplier 19.69.80.330.720 Shift*Supplier 430.754107.693.650.014 Error 1062.053629.5 Total 2216.4744\begin{array} { | l | c | c | c | c | c | } \hline \text { Source } & \text { Sum of Squares } & d f & \text { Mean Square } & F & \text { P-Value } \\\hline \text { Shift } & 704.07 & 2 & 352.04 & 11.93 & 0.001 \\\hline \text { Supplier } & 19.6 & & 9.8 & 0.33 & 0.720 \\\hline \text { Shift*Supplier } & 430.75 & 4 & 107.69 & 3.65 & 0.014 \\\hline \text { Error } & 1062.05 & 36 & 29.5 & & \\\hline \text { Total } & 2216.47 & 44 & & & \\\hline\end{array} How many replications per cell were there?


Definitions:

Footprint

The critical contact interface between a tire and the road surface it contacts. Also used to describe the ground uplink/downlink geographic signal area of a satellite communications system; for instance, a truck can move through multiple communication footprints on a cross-continental trip.

Premature Wear

Excessive and early degradation of a component or system, occurring before expected wear out.

Rear Axle

The component of a vehicle that connects the rear wheels and supports the back end, often housing the differential in vehicles with rear-wheel drive.

Underinflation

A tire that has less than the minimum specified pressure.

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