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exam/main.py

@@ -0,0 +1,31 @@
+import numpy as np 
+import matplotlib.pyplot as plt
+from scipy.stats import norm
+
+def main() -> None:
+    
+    data = np.array([float(v) for v in open("data.csv", 'r')])
+
+    n = len(data)
+    x_m = data.mean()
+    s_0 = data.var(ddof=1)
+
+    plt.figure()
+    plt.hist(data, bins = 10, density=True, edgecolor='black')
+
+    a, b = np.histogram(data, bins=10)
+    print(a)
+
+    plt.show()
+
+    tau = norm.ppf(0.975)
+
+    theta_minus = x_m - tau * np.sqrt(s_0 / n) 
+    print(theta_minus)
+    theta_plus = x_m + tau * np.sqrt(s_0 / n) 
+    print(theta_plus)
+
+
+
+if __name__ == "__main__":
+    main()