typo

docs/source/mcmc.ipynb

@@ -6,15 +6,15 @@
    "source": [
     "# Markov chain Monte Carlo\n",
     "\n",
-    "In the [previous tutorial](./max_likelihood.html), you we introduced to the idea of the **likelihood**, $L$. \n",
+    "In the [previous tutorial](./max_likelihood.html), you were introduced to the idea of the **likelihood**, $L$. \n",
     "This parameter is just one of the components of Bayes theorem, the foundation of Bayesian inference, \n",
     "\n",
     "$$ p = \\frac{P L}{Z}, $$ \n",
     "\n",
     "where, $p$ is the posterior probability, $P$ is the prior probability, and $Z$ is the evidence (more about these latter two factors in the [custom priors](./custom_priors.html) and [nested sampling](nested_sampling.html) tutorials). \n",
     "This tutorial will show how Markov chain Monte Carlo may be used to evaluate the shape of the posterior probability, and show what this means for our understanding of a models inverse uncertainties. \n",
     "\n",
-    "Let's start where we left of the previous tutorial, with a set of variables that maximise the likelihood of some model."
+    "Let's start where we left the previous tutorial, with a set of variables that maximise the likelihood of some model."
    ]
   },
   {