W3Schools 试用编辑器 - W3Schools 中文教程

import scipy.stats as stats
import math

# Specify sample occurrences (x), sample size (n) and confidence level
x = 6
n = 30
confidence_level = 0.95

# Calculate the point estimate, alpha, the critical z-value, the standrad error, and the margin of error
point_estimate = x/n
alpha = (1-confidence_level)
critical_z = stats.norm.ppf(1-alpha/2)
standard_error = math.sqrt((point_estimate*(1-point_estimate)/n))
margin_of_error = critical_z * standard_error

# Calculate the lower and upper bound of the confidence interval
lower_bound = point_estimate - margin_of_error
upper_bound = point_estimate + margin_of_error

# Print the results
print("Point Estimate: {:.3f}".format(point_estimate))
print("Critical Z-value: {:.3f}".format(critical_z))
print("Margin of Error: {:.3f}".format(margin_of_error))
print("Confidence Interval: [{:.3f},{:.3f}]".format(lower_bound,upper_bound))
print("The {:.1%} confidence interval for the population proportion is:".format(confidence_level))
print("between {:.3f} and {:.3f}".format(lower_bound,upper_bound))

Point Estimate: 0.200
Critical Z-value: 1.960
Margin of Error: 0.143
Confidence Interval: [0.057,0.343]
The 95.0% confidence interval for the population proportion is:
between 0.057 and 0.343