A company that produces office chairs uses two machines, machine A and machine B, to test the weights of its chairs in order to ensure each chair is constructed properly. The manager of the company randomly selects 8 chairs to be tested by machine A and 9 chairs to be tested by machine B. The table summarizes his data, including the standard error estimate (SE) for the difference in the two means and the approximate number of degrees of freedom (df). Population Population Description Sample size Sample mean Sample standard deviation A Chairs tested by machine A ??=8 x¯A=44.3412 ??=2.5732 B Chairs tested by machine B ??=9 x¯B=48.9021 ??=4.0444 SE for difference1.6264 df=13.6987 The manager wishes to construct a 95% t‑confidence interval comparing the sample means of the weights of chairs processed by machine A and machine B. The manager is not willing to assume that the population variances are equal. Determine the margin of error (?m) for the manager's 95% t‑confidence interval, rounded to four decimal places. You can use software or a ?t‑table to determine the critical value.
A company that produces office chairs uses two machines, machine A and machine B, to test the weights of its chairs in order to ensure each chair is constructed properly. The manager of the company randomly selects 8 chairs to be tested by machine A and 9 chairs to be tested by machine B. The table summarizes his data, including the standard error estimate (SE) for the difference in the two means and the approximate number of degrees of freedom (df).
Population | Population Description |
Sample size |
Sample mean |
Sample standard deviation |
---|---|---|---|---|
A | Chairs tested by machine A | ??=8 | x¯A=44.3412 | ??=2.5732 |
B | Chairs tested by machine B | ??=9 | x¯B=48.9021 | ??=4.0444 |
The manager wishes to construct a 95% t‑confidence interval comparing the sample means of the weights of chairs processed by machine A and machine B. The manager is not willing to assume that the population variances are equal.
Determine the margin of error (?m) for the manager's 95% t‑confidence interval, rounded to four decimal places. You can use software or a ?t‑table to determine the critical value.
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