Downtime in virtually any business can be costly. In a manufacturing setting, it means less product produced in a given time period while still having to pay the bills. This might mean late deliveries, backlogs, failure to meet orders, and even loss of market share. Suppose a manufacturing plant has been averaging 23 minutes of downtime per day for the past several years, but during the past year, there has been a significant effort by both management and production workers to reduce downtime. In an effort to determine if downtime has been significantly reduced, company productivity analysts have randomly sampled 16 days over the past several months from company records and recorded the daily downtimes shown below in minutes. Use these data and an α of 0.10 to determine if downtime has been significantly reduced. Assume that daily downtimes are normally distributed in the population.

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17 22 10 19 32 24 16 9 22 17 18 5 23 19 28 15