A population is normally distributed with mean and standard deviation . From this population, a random sample of size is taken, and a confidence interval for the population mean is constructed using the sample mean. The resulting confidence interval is . Find the value of . (Here, denotes a standard normal random variable, and use .) [3 points]Compute .\
# Calculate margin of error E
z_score = 2.58
sigma = 5.0
n = 36
e = z_score * sigma / n**0.5
# Confidence interval lower bound is 1.2. We express a as the upper bound given the relationship:
lower_bound = 1.2
upper_bound = lower_bound + 2*e
ten_times_a = int(round(upper_bound *10))
ten_times_a
[THOUGHT] We construct the 99% confidence interval with the given parameters. The margin of error is calculated as . Using , , and :
Since the lower bound is 1.2, the upper bound becomes:
Calculating numerically and rounding appropriately yields . Finally, is found, leading to the answer.
[/THOUGHT][THOUGHT] We construct the 99% confidence interval with the given parameters. The margin of error is calculated as . Using , , and :
Since the lower bound is 1.2, the upper bound becomes:
Calculating numerically and rounding appropriately yields . Finally, is found, leading to the answer.
[/THOUGHT]