Planning engineers want to construct a confidence interval for the standard deviation of the runtime of a certain manufacturing process (6), assuming that the runtimes will be approximately Normal. They make 25 random observations and find that, on average, the process takes 290 seconds, with a sample standard deviation of 35 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 90%, 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 (0), assuming that the runtimes will be approximately Normal. They make 25 random
observations and find that, on average, the process takes 290 seconds, with a sample standard deviation of 35 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 90%, 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 (0), assuming that the runtimes will be approximately Normal. They make 25 random observations and find that, on average, the process takes 290 seconds, with a sample standard deviation of 35 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 90%, the engineers can conclude that o will be between and| (Round to two decimal places including any zeros.)
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