other activity not related to production.  In a project designed to examine this problem, a consultant took a survey of 200 workers in companies that were classified as successful (on the basis of their latest annual profits) and another 200 workers from unsuccessful companies.  The amount of time (in hours) wasted during a standard 40-hour workweek was recorded for each worker.  Do these data provide enough evidence at the 5% significance level to infer that the amount of time wasted in unsuccessful firms exceeds that of successful ones?  To answer this question, the consultant ran several analyses and provided the out below.  Note that none of these analyses might be correct.  A. H0: (μ1 - μ2) = 0      H1: (μ1 - μ2) > 0 B. H0: μD = 0     H1: μD > 0

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
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One major factor in low productivity is the amount of time wasted by workers.  Wasted time could include things such as time spent waiting for more material and equipment, cleaning up mistakes, and performing any other activity not related to production.  In a project designed to examine this problem, a consultant took a survey of 200 workers in companies that were classified as successful (on the basis of their latest annual profits) and another 200 workers from unsuccessful companies.  The amount of time (in hours) wasted during a standard 40-hour workweek was recorded for each worker.  Do these data provide enough evidence at the 5% significance level to infer that the amount of time wasted in unsuccessful firms exceeds that of successful ones?  To answer this question, the consultant ran several analyses and provided the out below.  Note that none of these analyses might be correct. 

A. H0: (μ1 - μ2) = 0

     H1: (μ1 - μ2) > 0

B. H0: μD = 0

    H1: μD > 0

C. H0: μD = 0

    H1: μD < 0

D. H0: (μ1 - μ2) = 0

    H1: (μ1 - μ2) < 0 

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