Edit title cells

Hugo Bowne-Anderson · web-flow · commit a661a807de31 · 2019-07-01T10:27:06.000+10:00
diff --git a/notebooks/01b-Instructor-Probability_a_simulated_introduction.ipynb b/notebooks/01b-Instructor-Probability_a_simulated_introduction.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# What is probability? A simulated introduction"
+    "# Joint Probability, Conditional Probability and Bayes' Rule"
    ]
   },
   {
@@ -83,19 +83,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.2506\n"
+      "0.2456\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -116,16 +116,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.25254837999999996"
+       "0.2523537"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -165,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -174,7 +174,7 @@
        "0.724891534007516"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -199,16 +199,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.724090328"
+       "0.7239874466"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -230,16 +230,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.72635"
+       "0.7242"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -292,7 +292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -301,7 +301,7 @@
        "0.8514056224899599"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -312,7 +312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -321,7 +321,7 @@
        "0.6942148760330579"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -333,7 +333,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -342,7 +342,7 @@
        "1.0"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -410,7 +410,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -423,7 +423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -435,16 +435,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.3442953])"
+       "array([0.33718559])"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/notebooks/02a-Instructor-Parameter_estimation_hypothesis_testing.ipynb b/notebooks/02a-Instructor-Parameter_estimation_hypothesis_testing.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Parameter estimation and hypothesis testing"
+    "# Bayesian Inference and Parameter Estimation"
    ]
   },
   {
@@ -42,7 +42,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 1. From Bayes Theorem to Bayesian Inference"
+    "## 1. From Bayes' Theorem to Bayesian Inference"
    ]
   },
   {
diff --git a/notebooks/02b-Instructor-Parameter_estimation_hypothesis_testing.ipynb b/notebooks/02b-Instructor-Parameter_estimation_hypothesis_testing.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Parameter estimation and hypothesis testing"
+    "# Probabilistic  Programming,  Parameter estimation and hypothesis testing"
    ]
   },
   {
@@ -29,7 +29,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Learning Objectives of Part 2"
+    "## Learning Objectives of Part 2-b"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -4,7 +4,7 @@`
`4`	`4`	`"cell_type": "markdown",`
`5`	`5`	`"metadata": {},`
`6`	`6`	`"source": [`
`7`		`- "# What is probability? A simulated introduction"`
	`7`	`+ "# Joint Probability, Conditional Probability and Bayes' Rule"`
`8`	`8`	`]`
`9`	`9`	`},`
`10`	`10`	`{`
`@@ -83,19 +83,19 @@`
`83`	`83`	`},`
`84`	`84`	`{`
`85`	`85`	`"cell_type": "code",`
`86`		`- "execution_count": 27,`
	`86`	`+ "execution_count": 2,`
`87`	`87`	`"metadata": {},`
`88`	`88`	`"outputs": [`
`89`	`89`	`{`
`90`	`90`	`"name": "stdout",`
`91`	`91`	`"output_type": "stream",`
`92`	`92`	`"text": [`
`93`		`- "0.2506\n"`
	`93`	`+ "0.2456\n"`
`94`	`94`	`]`
`95`	`95`	`},`
`96`	`96`	`{`
`97`	`97`	`"data": {`
`98`		- "image/png": 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\n",
	`98`	+ "image/png": "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\n",
`99`	`99`	`"text/plain": [`
`100`	`100`	`"<Figure size 432x288 with 1 Axes>"`
`101`	`101`	`]`
`@@ -116,16 +116,16 @@`
`116`	`116`	`},`
`117`	`117`	`{`
`118`	`118`	`"cell_type": "code",`
`119`		`- "execution_count": 28,`
	`119`	`+ "execution_count": 3,`
`120`	`120`	`"metadata": {},`
`121`	`121`	`"outputs": [`
`122`	`122`	`{`
`123`	`123`	`"data": {`
`124`	`124`	`"text/plain": [`
`125`		`- "0.25254837999999996"`
	`125`	`+ "0.2523537"`
`126`	`126`	`]`
`127`	`127`	`},`
`128`		`- "execution_count": 28,`
	`128`	`+ "execution_count": 3,`
`129`	`129`	`"metadata": {},`
`130`	`130`	`"output_type": "execute_result"`
`131`	`131`	`}`
`@@ -165,7 +165,7 @@`
`165`	`165`	`},`
`166`	`166`	`{`
`167`	`167`	`"cell_type": "code",`
`168`		`- "execution_count": 2,`
	`168`	`+ "execution_count": 4,`
`169`	`169`	`"metadata": {},`
`170`	`170`	`"outputs": [`
`171`	`171`	`{`
`@@ -174,7 +174,7 @@`
`174`	`174`	`"0.724891534007516"`
`175`	`175`	`]`
`176`	`176`	`},`
`177`		`- "execution_count": 2,`
	`177`	`+ "execution_count": 4,`
`178`	`178`	`"metadata": {},`
`179`	`179`	`"output_type": "execute_result"`
`180`	`180`	`}`
`@@ -199,16 +199,16 @@`
`199`	`199`	`},`
`200`	`200`	`{`
`201`	`201`	`"cell_type": "code",`
`202`		`- "execution_count": 3,`
	`202`	`+ "execution_count": 5,`
`203`	`203`	`"metadata": {},`
`204`	`204`	`"outputs": [`
`205`	`205`	`{`
`206`	`206`	`"data": {`
`207`	`207`	`"text/plain": [`
`208`		`- "0.724090328"`
	`208`	`+ "0.7239874466"`
`209`	`209`	`]`
`210`	`210`	`},`
`211`		`- "execution_count": 3,`
	`211`	`+ "execution_count": 5,`
`212`	`212`	`"metadata": {},`
`213`	`213`	`"output_type": "execute_result"`
`214`	`214`	`}`
`@@ -230,16 +230,16 @@`
`230`	`230`	`},`
`231`	`231`	`{`
`232`	`232`	`"cell_type": "code",`
`233`		`- "execution_count": 4,`
	`233`	`+ "execution_count": 6,`
`234`	`234`	`"metadata": {},`
`235`	`235`	`"outputs": [`
`236`	`236`	`{`
`237`	`237`	`"data": {`
`238`	`238`	`"text/plain": [`
`239`		`- "0.72635"`
	`239`	`+ "0.7242"`
`240`	`240`	`]`
`241`	`241`	`},`
`242`		`- "execution_count": 4,`
	`242`	`+ "execution_count": 6,`
`243`	`243`	`"metadata": {},`
`244`	`244`	`"output_type": "execute_result"`
`245`	`245`	`}`
`@@ -292,7 +292,7 @@`
`292`	`292`	`},`
`293`	`293`	`{`
`294`	`294`	`"cell_type": "code",`
`295`		`- "execution_count": 5,`
	`295`	`+ "execution_count": 7,`
`296`	`296`	`"metadata": {},`
`297`	`297`	`"outputs": [`
`298`	`298`	`{`
`@@ -301,7 +301,7 @@`
`301`	`301`	`"0.8514056224899599"`
`302`	`302`	`]`
`303`	`303`	`},`
`304`		`- "execution_count": 5,`
	`304`	`+ "execution_count": 7,`
`305`	`305`	`"metadata": {},`
`306`	`306`	`"output_type": "execute_result"`
`307`	`307`	`}`
`@@ -312,7 +312,7 @@`
`312`	`312`	`},`
`313`	`313`	`{`
`314`	`314`	`"cell_type": "code",`
`315`		`- "execution_count": 33,`
	`315`	`+ "execution_count": 8,`
`316`	`316`	`"metadata": {},`
`317`	`317`	`"outputs": [`
`318`	`318`	`{`
`@@ -321,7 +321,7 @@`
`321`	`321`	`"0.6942148760330579"`
`322`	`322`	`]`
`323`	`323`	`},`
`324`		`- "execution_count": 33,`
	`324`	`+ "execution_count": 8,`
`325`	`325`	`"metadata": {},`
`326`	`326`	`"output_type": "execute_result"`
`327`	`327`	`}`
`@@ -333,7 +333,7 @@`
`333`	`333`	`},`
`334`	`334`	`{`
`335`	`335`	`"cell_type": "code",`
`336`		`- "execution_count": 34,`
	`336`	`+ "execution_count": 9,`
`337`	`337`	`"metadata": {},`
`338`	`338`	`"outputs": [`
`339`	`339`	`{`
`@@ -342,7 +342,7 @@`
`342`	`342`	`"1.0"`
`343`	`343`	`]`
`344`	`344`	`},`
`345`		`- "execution_count": 34,`
	`345`	`+ "execution_count": 9,`
`346`	`346`	`"metadata": {},`
`347`	`347`	`"output_type": "execute_result"`
`348`	`348`	`}`
`@@ -410,7 +410,7 @@`
`410`	`410`	`},`
`411`	`411`	`{`
`412`	`412`	`"cell_type": "code",`
`413`		`- "execution_count": 35,`
	`413`	`+ "execution_count": 10,`
`414`	`414`	`"metadata": {},`
`415`	`415`	`"outputs": [],`
`416`	`416`	`"source": [`
`@@ -423,7 +423,7 @@`
`423`	`423`	`},`
`424`	`424`	`{`
`425`	`425`	`"cell_type": "code",`
`426`		`- "execution_count": 36,`
	`426`	`+ "execution_count": 11,`
`427`	`427`	`"metadata": {},`
`428`	`428`	`"outputs": [],`
`429`	`429`	`"source": [`
`@@ -435,16 +435,16 @@`
`435`	`435`	`},`
`436`	`436`	`{`
`437`	`437`	`"cell_type": "code",`
`438`		`- "execution_count": 37,`
	`438`	`+ "execution_count": 12,`
`439`	`439`	`"metadata": {},`
`440`	`440`	`"outputs": [`
`441`	`441`	`{`
`442`	`442`	`"data": {`
`443`	`443`	`"text/plain": [`
`444`		`- "array([0.3442953])"`
	`444`	`+ "array([0.33718559])"`
`445`	`445`	`]`
`446`	`446`	`},`
`447`		`- "execution_count": 37,`
	`447`	`+ "execution_count": 12,`
`448`	`448`	`"metadata": {},`
`449`	`449`	`"output_type": "execute_result"`
`450`	`450`	`}`