a) If "\\sigma" not known:
If "n" is large, then use normal.
If "n" is small, then use t-distribution.
Margin of error
Given "ME=1.5\\ h, s=25\\ h, \\alpha=0.02"
If "n\\leq30"
Hence we can use normal distribution
"n\\geq(\\dfrac{25z_{\\alpha\/2}}{1.5})^2"
"z_{0.02\/2}=2.3263"
"n\\geq(\\dfrac{25\\cdot2.3263}{1.5})^2"
"n\\geq1504"
(b)
"t_{\\alpha\/2, df}=t_{0.05\/2, 8-1}=2.364619"
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