The manufacturer of Trilene braided fishing line claims that the average number of gamefish that can be landed before the line needs to be replaced on the reels is 5,000. The standard deviation of the number of fish landed is 600. Denny sampled 60 of his big game rods on his fleet of sport fishing boats and determined that the average number of fish landed before the line had to be replaced was 4800. Does Denny have a product liability complaint at the .10 significance level? Was Denny's experience in performance different from that claimed by Trilene?
Please see response to your posting as explained below.
Step 1: Formulate null and alternate hypothesis
To answer the questions raised we need to test if the sample mean is significantly different from estimated population mean.
Null: Sample is equal to population mean
Alternate: Sample mean is not equal to population mean
Step 2: Identify data values. We note that population parameters are given.
Population mean, mu = 5000
Population standard deviation, sigma = 600
Sample mean, mubar = 4800
Sample size, n = 60 (normal ...
Solution explain how to test if the sample mean is significantly different from estimated population mean.