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    Significance level

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    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?

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    https://brainmass.com/statistics/hypothesis-testing/significance-level-165297

    Solution Preview

    Hi,

    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 Summary

    Solution explain how to test if the sample mean is significantly different from estimated population mean.

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