⚡ Adds sex owanova

analyze_sex.py

@@ -0,0 +1,29 @@
+import numpy as np
+import scipy.stats as stats
+
+dataset = np.load("clean.npy")
+print(f"dataset shape: {dataset.shape}, analyzing column 1 (sex)")
+print("\t0 - female")
+print("\t1 - male")
+print("")
+
+
+def analyze(name: str, col: np.ndarray):
+    sex_col = dataset[:, 1]
+    F, p = stats.f_oneway(col[sex_col == 0], col[sex_col == 1])
+    print(f"F-stats for {name}: {F}")
+    print(f"p-value for {name}: {p}")
+
+    if p > 0.05:
+        print("statistically insignificant\n")
+        return
+
+    print("statistically significant")
+    tukey_results = stats.tukey_hsd(col[sex_col == 0], col[sex_col == 1])
+    print(tukey_results)
+
+
+analyze("gpa", dataset[:, 2])
+analyze("math", dataset[:, 3])
+analyze("slovak", dataset[:, 4])
+analyze("english", dataset[:, 5])