import numpy as np
data = [85, 92, 78, 85, 95, 88, 72, 85, 90, 80] # Dataset
data_array = np.array(data)
print("OUTPUT\n")
print(f"Dataset: {data}\n")
# Mean and Median
mean_value = np.mean(data_array)
median_value = np.median(data_array)
# Mode using NumPy (works everywhere)
values, counts = np.unique(data_array, return_counts=True)
mode_value = values[np.argmax(counts)]
print(f"1. Mean: {mean_value:.2f}")
print(f"2. Median: {median_value:.2f}")
print(f"3. Mode: {mode_value}")
# Variance and Standard Deviation (sample)
variance_value = np.var(data_array, ddof=1)
std_dev_value = np.std(data_array, ddof=1)
print(f"4. Variance: {variance_value:.2f}")
print(f"5. Standard Deviation: {std_dev_value:.2f}")
