Merge branch 'master' of github.com:CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Author: CamDavidsonPilon

Chapter2_MorePyMC/MorePyMC.ipynb

@@ -723,10 +723,10 @@
       "# sample N Bernoulli random variables from Ber(0.05).\n",
       "# each random variable has a 0.05 chance of being a 1.\n",
       "# this is the data-generation step\n",
-      "occurances = mc.rbernoulli(p_true, N)\n",
+      "occurrences = mc.rbernoulli(p_true, N)\n",
       "\n",
-      "print occurances  # Remember: Python treats True == 1, and False == 0\n",
-      "print occurances.sum()"
+      "print occurrences  # Remember: Python treats True == 1, and False == 0\n",
+      "print occurrences.sum()"
      ],
      "language": "python",
      "metadata": {},
@@ -753,9 +753,9 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "# Occurances.mean is equal to n/N.\n",
-      "print \"What is the observed frequency in Group A? %.4f\" % occurances.mean()\n",
-      "print \"Does this equal the true frequency? %s\" % (occurances.mean() == p_true)"
+      "# Occurrences.mean is equal to n/N.\n",
+      "print \"What is the observed frequency in Group A? %.4f\" % occurrences.mean()\n",
+      "print \"Does this equal the true frequency? %s\" % (occurrences.mean() == p_true)"
      ],
      "language": "python",
      "metadata": {},
@@ -783,7 +783,7 @@
      "collapsed": false,
      "input": [
       "#include the observations, which are Bernoulli\n",
-      "obs = mc.Bernoulli(\"obs\", p, value=occurances, observed=True)\n",
+      "obs = mc.Bernoulli(\"obs\", p, value=occurrences, observed=True)\n",
       "\n",
       "#To be explained in chapter 3\n",
       "mcmc = mc.MCMC([p, obs])\n",
@@ -2111,7 +2111,7 @@
       "plt.xlim(0.995, 1)\n",
       "plt.hist(prob_31, bins=1000, normed=True, histtype='stepfilled')\n",
       "plt.title(\"Posterior distribution of probability of defect, given $t = 31$\")\n",
-      "plt.xlabel(\"probability of defect occuring in O-ring\")\n"
+      "plt.xlabel(\"probability of defect occurring in O-ring\")\n"
      ],
      "language": "python",
      "metadata": {},