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ddof=1) n = len(data) # Calculate the critical value (z) based on the confidence level z = t.ppf((1 + confidence) / 2, df=len(data) - 1) # Calculate the margin of error using standard error margin_of_error = z * sample_std / np.sqrt(n) # Calculate the confidence interval lower_bound = sample_mean -