No. The correct statement would be something like, "95% of such confidence intervals would contain the population mean."
The confidence interval would be
xbar ± 1.96 × sigma / sqrt{n}
with width 2 × 1.96 × sigma / sqrt{n}.
Thus we need to solve the following for n:
2 × 1.96 × 1.5 / sqrt{n} = 1
Thus n = (2 × 1.96 × 1.5)2 = 34.6.
Thus we need to measure at least 35 samples. This is too large! We should get a more precise measuring device.
Sample mean = 3.496; sample SD = 0.301. The
appropriate t-value (in R, use qt(0.975, 4)
) is 2.776.
Thus the 95% confidence interval is 3.496 ± 2.776 × 0.301 / sqrt{5} = (approx) 3.50 ± 0.37 = (approx) (3.12, 3.87).
Last modified: Wed Feb 22 09:43:42 EST 2006 |