Planning engineers want to construct a confidence interval for the standard deviation of the runtime of a certain manufacturing process (o), assuming that the runtimes will be approximately Normal. They make 18 random observations and find that, on average, the process takes 220 seconds, with a sample standard deviation of 25 seconds. Click here to view page 1 of the table of critical values of the chi-squared distribution. Click here to view page 2 of the table of critical values of the chi-squared distribution. With 95%, the engineers can conclude that o will be between and (Round to two decimal places including any zeros.)

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Planning engineers want to construct a confidence interval for the standard deviation of the runtime of a certain manufacturing process (o), assuming that the runtimes
will be approximately Normal. They make 18 random observations and find that, on average, the process takes 220 seconds, with a sample standard deviation of 25
seconds.
Click here to view page 1 of the table of critical values of the chi-squared distribution.
Click here to view page 2 of the table of critical values of the chi-squared distribution,
With 95%, the engineers can conclude that o will be between and
(Round to two decimal places including any zeros.)
Transcribed Image Text:Planning engineers want to construct a confidence interval for the standard deviation of the runtime of a certain manufacturing process (o), assuming that the runtimes will be approximately Normal. They make 18 random observations and find that, on average, the process takes 220 seconds, with a sample standard deviation of 25 seconds. Click here to view page 1 of the table of critical values of the chi-squared distribution. Click here to view page 2 of the table of critical values of the chi-squared distribution, With 95%, the engineers can conclude that o will be between and (Round to two decimal places including any zeros.)
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