Update NB 8.1 with f-strings

Author: jsdodge

notebooks/8.1-The-t-distribution.ipynb

@@ -71,7 +71,7 @@
     "alpha_known = np.ones(N_trial)/np.sqrt(N)\n",
     "\n",
     "# Create a wide plot\n",
-    "fig, ax = plt.subplots(figsize=[12.8, 4.8]);\n",
+    "fig, ax = plt.subplots(figsize=[12.8, 4.8])\n",
     "\n",
     "# Create errorbar plots using known and estimated standard errors,\n",
     "# shifting each error bar to the left or right by shift_x\n",
@@ -95,8 +95,10 @@
     "H0_est = (xbar - alpha_est < 0) & (xbar + alpha_est > 0)\n",
     "\n",
     "# Show the fraction of trials consistent with µ = 0 in each case\n",
-    "print(\"Fraction of trials consistent with µ = 0, known uncertainty:     {0:.1f} %\".format(100*np.sum(H0_known)/N_trial))\n",
-    "print(\"Fraction of trials consistent with µ = 0, estimated uncertainty: {0:.1f} %\".format(100*np.sum(H0_est)/N_trial))\n",
+    "print(\"Fraction of trials consistent with µ = 0, known uncertainty:     \"\n",
+    "      f\"{100*np.sum(H0_known)/N_trial:.1f} %\")\n",
+    "print(\"Fraction of trials consistent with µ = 0, estimated uncertainty: \"\n",
+    "      f\"{100*np.sum(H0_est)/N_trial:.1f} %\")\n",
     "\n",
     "# Show indices where the known and estimated uncertainties yield different results for H0\n",
     "print(\"Trials consistent with µ = 0 for known uncertainty but inconsistent for estimated uncertainty:\")\n",