A company manufacturing furniture knows that the average number of tables a worker can assemble in one hour is 20, with a standard deviation of 5. It is proposed that a new glue may speed up assembly and increase hourly output, so a test is made using the new glue and 100 hours of labor time. The average number of tables assembled per hour during the test is 22. At the .10 level of significance, does management have reason to believe that the new glue speeds up assembly output? P-value?
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