Update app.py

app.py

@@ -20,8 +20,28 @@ def ui_student(g1, g2, alt):
 def ui_paired(g1, g2, alt):
     return mcp_tools.paired_t_test(g1, g2, alt)
 
-def ui_one_sample(g, mu, alt):
-    return mcp_tools.one_sample_t_test(g, mu, alt)
+#def ui_one_sample(g, mu, alt):
+#    return mcp_tools.one_sample_t_test(g, mu, alt)
+
+def one_sample_t_test(g, population_mean, alternative):
+    import numpy as np
+    import pingouin as pg
+
+    g = np.array(g, dtype=float)
+    adjusted = g - population_mean
+
+    result = pg.ttest(adjusted, y=None, alternative=alternative)
+
+    return {
+        "T": float(result["T"].iloc[0]),
+        "dof": int(result["dof"].iloc[0]),
+        "alternative": alternative,
+        "p_val": float(result["p-val"].iloc[0]),
+        "CI95": [float(result["CI95%"].iloc[0][0]), float(result["CI95%"].iloc[0][1])],
+        "cohen_d": float(result["cohen-d"].iloc[0]),
+        "power": float(result["power"].iloc[0]),
+        "BF10": str(result["BF10"].iloc[0])
+    }
 
 def ui_anova(groups):
     return mcp_tools.one_way_anova(groups)
@@ -175,7 +195,13 @@ with gr.Blocks(title="Stat3001 — Statistical Tests") as demo:
 
             g_os = gr.Textbox(label="Sample (comma-separated numbers)")
             mu_os = gr.Number(label="Population mean")
-            alt_os = gr.Radio(["two-sided", "less", "greater"], value="two-sided", label="Alternative hypothesis")
+            #alt_os = gr.Radio(["two-sided", "less", "greater"], value="two-sided", label="Alternative hypothesis")
+            alt_one = gr.Radio(
+                ["two-sided", "less", "greater"],
+                value="two-sided",
+                label="Alternative hypothesis"
+            )
+
             example_one_sample = "5,6,7,8,9"
             load_example_one = gr.Button("Load example")
             load_example_one.click(lambda: example_one_sample, None, [g_os])
@@ -183,8 +209,9 @@ with gr.Blocks(title="Stat3001 — Statistical Tests") as demo:
             out_os = gr.JSON(label="Results")
             download_os = gr.DownloadButton("Download results")
             
-            run_os.click(ui_one_sample, inputs=[g_os, mu_os, alt_os], outputs=[out_os])
-            
+            #run_os.click(ui_one_sample, inputs=[g_os, mu_os, alt_os], outputs=[out_os])
+            run_one.click(ui_one_sample, inputs=[g_os, mu_os, alt_one], outputs=[out_os])
+
             run_os.click(
                 lambda r: save_json_to_file(r, "one_sample_results.json"),
                 inputs=[out_os],