stylistic changes

Author: ericmjl

notebooks/01a-Instructor-Probability_a_simulated_introduction.ipynb

@@ -42,7 +42,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 1. Probability"
+    "## Probability"
    ]
   },
   {
@@ -70,9 +70,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "toc-hr-collapsed": false
+   },
    "source": [
-    "## 2. Simulating probabilities"
+    "## Simulating probabilities"
    ]
   },
   {
@@ -196,7 +198,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Hands-on: more clicking"
+    "### Hands-on: clicking"
    ]
   },
   {
@@ -392,7 +394,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### A proxy for probability\n",
+    "### Proportion: A proxy for probability\n",
     "\n",
     "As stated above, we have calculated a proportion, not a probability. As a proxy for the probability, we can simulate drawing random samples (with replacement) from the data seeing how many lengths are > 10 and calculating the proportion (commonly referred to as [hacker statistics](https://speakerdeck.com/jakevdp/statistics-for-hackers)):"
    ]
@@ -532,7 +534,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Hands-on"
+    "### Hands-on: Probabilities"
    ]
   },
   {
@@ -647,7 +649,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Empirical cumulative distribution functions (ECDFs)"
+    "## Empirical cumulative distribution functions (ECDFs)"
    ]
   },
   {
@@ -699,7 +701,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Hands-on"
+    "### Hands-on: Plotting ECDFs"
    ]
   },
   {
@@ -739,7 +741,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 3. PROBABILITY DISTRIBUTIONS AND THEIR STORIES"
+    "## Probability distributions and their stories"
    ]
   },
   {
@@ -846,7 +848,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Hands-on"
+    "#### Hands-on: Poisson"
    ]
   },
   {
@@ -886,7 +888,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Example Poisson distribution: field goals attempted per game"
+    "#### Example Poisson distribution: field goals attempted per game"
    ]
   },
   {
@@ -940,7 +942,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## HANDS ON"
+    "#### Hands-on: Simulating Data Generating Stories"
    ]
   },
   {
@@ -1025,7 +1027,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Exponential distribution"
+    "### Exponential distribution"
    ]
   },
   {
@@ -1172,7 +1174,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## HANDS ON"
+    "#### Hands-on: Simulating Normal"
    ]
   },
   {
@@ -1237,8 +1239,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
+   "version": "3.7.2"
+  },
+  "toc-autonumbering": true
  },
  "nbformat": 4,
  "nbformat_minor": 2

notebooks/01b-Instructor-Probability_a_simulated_introduction.ipynb

@@ -41,7 +41,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 1. Joint Probability & Conditional Probability"
+    "## Joint Probability & Conditional Probability"
    ]
   },
   {
@@ -67,7 +67,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### HANDS-ON: JOINT PROBABILITY COIN FLIPPING"
+    "#### Hands-On: Joint Probability and Coin Flipping"
    ]
   },
   {
@@ -153,7 +153,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### HANDS-ON: joint probability for birds"
+    "#### Hands-On: Joint probability for birds"
    ]
   },
   {
@@ -564,7 +564,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,