4 years ago · 31092d1434
--- a/05/1/.ipynb_checkpoints/Arrays-checkpoint.ipynb
+++ b/05/1/.ipynb_checkpoints/Arrays-checkpoint.ipynb
@@ -112,7 +112,7 @@
 
															    "cell_type": "markdown",
														
 
															    "metadata": {},
														
 
															    "source": [
														
 
															-    "<img src=\"array_arithmetic.png\" />"
														
 
															+    "![Array Arithmetic](../../images/array_arithmetic.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -296,7 +296,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/05/1/Arrays.ipynb
+++ b/05/1/Arrays.ipynb
@@ -112,7 +112,7 @@
 
															    "cell_type": "markdown",
														
 
															    "metadata": {},
														
 
															    "source": [
														
 
															-    "<img src=\"array_arithmetic.png\" />"
														
 
															+    "![Array Arithmetic](../../images/array_arithmetic.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -296,7 +296,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/05/3/.ipynb_checkpoints/More_on_Arrays-checkpoint.ipynb
+++ b/05/3/.ipynb_checkpoints/More_on_Arrays-checkpoint.ipynb
@@ -143,7 +143,7 @@
 
															    "cell_type": "markdown",
														
 
															    "metadata": {},
														
 
															    "source": [
														
 
															-    "<img src=\"array_subtraction.png\" />"
														
 
															+    "![Array Subtraction](../../images/array_subtraction.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -270,7 +270,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/05/3/More_on_Arrays.ipynb
+++ b/05/3/More_on_Arrays.ipynb
@@ -143,7 +143,7 @@
 
															    "cell_type": "markdown",
														
 
															    "metadata": {},
														
 
															    "source": [
														
 
															-    "<img src=\"array_subtraction.png\" />"
														
 
															+    "![Array Subtraction](../../images/array_subtraction.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -270,7 +270,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/05/Sequences.ipynb
+++ b/05/Sequences.ipynb
@@ -126,7 +126,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/06/3/.ipynb_checkpoints/Example_Trends_in_the_Population_of_the_United_States-checkpoint.ipynb
+++ b/06/3/.ipynb_checkpoints/Example_Trends_in_the_Population_of_the_United_States-checkpoint.ipynb
--- a/06/3/Example_Trends_in_the_Population_of_the_United_States.ipynb
+++ b/06/3/Example_Trends_in_the_Population_of_the_United_States.ipynb
--- a/06/4/.ipynb_checkpoints/Example_Gender_Ratio_in_the_US_Population-checkpoint.ipynb
+++ b/06/4/.ipynb_checkpoints/Example_Gender_Ratio_in_the_US_Population-checkpoint.ipynb
--- a/06/4/Example_Gender_Ratio_in_the_US_Population.ipynb
+++ b/06/4/Example_Gender_Ratio_in_the_US_Population.ipynb
--- a/07/Visualization.ipynb
+++ b/07/Visualization.ipynb
--- a/08/3/.ipynb_checkpoints/Cross-Classifying_by_More_than_One_Variable-checkpoint.ipynb
+++ b/08/3/.ipynb_checkpoints/Cross-Classifying_by_More_than_One_Variable-checkpoint.ipynb
--- a/08/3/Cross-Classifying_by_More_than_One_Variable.ipynb
+++ b/08/3/Cross-Classifying_by_More_than_One_Variable.ipynb
--- a/08/5/.ipynb_checkpoints/Bike_Sharing_in_the_Bay_Area-checkpoint.ipynb
+++ b/08/5/.ipynb_checkpoints/Bike_Sharing_in_the_Bay_Area-checkpoint.ipynb
--- a/08/5/Bike_Sharing_in_the_Bay_Area.ipynb
+++ b/08/5/Bike_Sharing_in_the_Bay_Area.ipynb
--- a/08/Functions_and_Tables.ipynb
+++ b/08/Functions_and_Tables.ipynb
@@ -354,7 +354,7 @@
 
															    "source": [
														
 
															     "Here is what happens when we run that cell:\n",
														
 
															     "\n",
														
 
															-    "![Function_Execution](function_execution.jpg)\n",
														
 
															+    "![Function_Execution](../../images/function_execution.jpg)\n",
														
 
															     "\n"
														
 
															    ]
														
 
															   },
														
@@ -459,7 +459,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/09/4/.ipynb_checkpoints/Monty_Hall_Problem-checkpoint.ipynb
+++ b/09/4/.ipynb_checkpoints/Monty_Hall_Problem-checkpoint.ipynb
--- a/09/4/Monty_Hall_Problem.ipynb
+++ b/09/4/Monty_Hall_Problem.ipynb
--- a/11/2/.ipynb_checkpoints/Multiple_Categories-checkpoint.ipynb
+++ b/11/2/.ipynb_checkpoints/Multiple_Categories-checkpoint.ipynb
--- a/11/2/Multiple_Categories.ipynb
+++ b/11/2/Multiple_Categories.ipynb
--- a/11/3/.ipynb_checkpoints/Decisions_and_Uncertainty-checkpoint.ipynb
+++ b/11/3/.ipynb_checkpoints/Decisions_and_Uncertainty-checkpoint.ipynb
--- a/11/3/Decisions_and_Uncertainty.ipynb
+++ b/11/3/Decisions_and_Uncertainty.ipynb
--- a/12/1/.ipynb_checkpoints/AB_Testing-checkpoint.ipynb
+++ b/12/1/.ipynb_checkpoints/AB_Testing-checkpoint.ipynb
--- a/12/1/AB_Testing.ipynb
+++ b/12/1/AB_Testing.ipynb
--- a/12/3/.ipynb_checkpoints/Causality-checkpoint.ipynb
+++ b/12/3/.ipynb_checkpoints/Causality-checkpoint.ipynb
--- a/12/3/Causality.ipynb
+++ b/12/3/Causality.ipynb
--- a/13/1/.ipynb_checkpoints/Percentiles-checkpoint.ipynb
+++ b/13/1/.ipynb_checkpoints/Percentiles-checkpoint.ipynb
--- a/13/1/Percentiles.ipynb
+++ b/13/1/Percentiles.ipynb
--- a/13/2/.ipynb_checkpoints/Bootstrap-checkpoint.ipynb
+++ b/13/2/.ipynb_checkpoints/Bootstrap-checkpoint.ipynb
--- a/13/2/Bootstrap.ipynb
+++ b/13/2/Bootstrap.ipynb
--- a/13/3/.ipynb_checkpoints/Confidence_Intervals-checkpoint.ipynb
+++ b/13/3/.ipynb_checkpoints/Confidence_Intervals-checkpoint.ipynb
@@ -1216,7 +1216,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/13/3/Confidence_Intervals.ipynb
+++ b/13/3/Confidence_Intervals.ipynb
@@ -1216,7 +1216,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/14/5/.ipynb_checkpoints/Variability_of_the_Sample_Mean-checkpoint.ipynb
+++ b/14/5/.ipynb_checkpoints/Variability_of_the_Sample_Mean-checkpoint.ipynb
--- a/14/5/Variability_of_the_Sample_Mean.ipynb
+++ b/14/5/Variability_of_the_Sample_Mean.ipynb
--- a/15/1/.ipynb_checkpoints/Correlation-checkpoint.ipynb
+++ b/15/1/.ipynb_checkpoints/Correlation-checkpoint.ipynb
--- a/15/1/Correlation.ipynb
+++ b/15/1/Correlation.ipynb
--- a/15/4/.ipynb_checkpoints/Least_Squares_Regression-checkpoint.ipynb
+++ b/15/4/.ipynb_checkpoints/Least_Squares_Regression-checkpoint.ipynb
--- a/15/4/Least_Squares_Regression.ipynb
+++ b/15/4/Least_Squares_Regression.ipynb
--- a/15/5/.ipynb_checkpoints/Visual_Diagnostics-checkpoint.ipynb
+++ b/15/5/.ipynb_checkpoints/Visual_Diagnostics-checkpoint.ipynb
--- a/15/5/Visual_Diagnostics.ipynb
+++ b/15/5/Visual_Diagnostics.ipynb
--- a/17/5/.ipynb_checkpoints/Accuracy_of_the_Classifier-checkpoint.ipynb
+++ b/17/5/.ipynb_checkpoints/Accuracy_of_the_Classifier-checkpoint.ipynb
--- a/17/5/Accuracy_of_the_Classifier.ipynb
+++ b/17/5/Accuracy_of_the_Classifier.ipynb
--- a/18/1/.ipynb_checkpoints/More_Likely_than_Not_Binary_Classifier-checkpoint.ipynb
+++ b/18/1/.ipynb_checkpoints/More_Likely_than_Not_Binary_Classifier-checkpoint.ipynb
@@ -338,7 +338,7 @@
 
															    "cell_type": "markdown",
														
 
															    "metadata": {},
														
 
															    "source": [
														
 
															-    "![Students Tree Diagram](tree_students.png)"
														
 
															+    "![Students Tree Diagram](../../images/tree_students.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -479,7 +479,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/18/1/More_Likely_than_Not_Binary_Classifier.ipynb
+++ b/18/1/More_Likely_than_Not_Binary_Classifier.ipynb
@@ -338,7 +338,7 @@
 
															    "cell_type": "markdown",
														
 
															    "metadata": {},
														
 
															    "source": [
														
 
															-    "![Students Tree Diagram](tree_students.png)"
														
 
															+    "![Students Tree Diagram](../../images/tree_students.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -479,7 +479,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/18/2/.ipynb_checkpoints/Making_Decisions-checkpoint.ipynb
+++ b/18/2/.ipynb_checkpoints/Making_Decisions-checkpoint.ipynb
@@ -81,7 +81,7 @@
 
															     "## A Test for a Rare Disease\n",
														
 
															     "Suppose there is a large population and a disease that strikes a tiny proportion of the population. The tree diagram below summarizes information about such a disease and about a medical test for it.\n",
														
 
															     "\n",
														
 
															-    "![Tree Rare Disease](tree_disease_rare.png)"
														
 
															+    "![Tree Rare Disease](../../images/tree_disease_rare.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -248,7 +248,7 @@
 
															    "source": [
														
 
															     "The reason is that a huge fraction of the population doesn't have the disease in the first place. The tiny fraction of those that falsely test Positive are still greater in number than the people who correctly test Positive. This is easier to visualize in the tree diagram:\n",
														
 
															     "\n",
														
 
															-    "![Tree Rare Disease](tree_disease_rare.png)\n",
														
 
															+    "![Tree Rare Disease](../../images/tree_disease_rare.png)\n",
														
 
															     "\n",
														
 
															     "- The proportion of true Positives is a large fraction (0.99) of a tiny fraction (0.004) of the population.\n",
														
 
															     "- The proportion of false Positives is a tiny fraction (0.005) of a large fraction (0.996) of the population.\n",
														
@@ -467,7 +467,7 @@
 
															     {
														
 
															      "data": {
														
 
															       "text/plain": [
														
 
															-       "0.9171075837742504"
														
 
															+       "0.9290909090909091"
														
 
															       ]
														
 
															      },
														
 
															      "execution_count": 10,
														
@@ -506,7 +506,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/18/2/Making_Decisions.ipynb
+++ b/18/2/Making_Decisions.ipynb
@@ -81,7 +81,7 @@
 
															     "## A Test for a Rare Disease\n",
														
 
															     "Suppose there is a large population and a disease that strikes a tiny proportion of the population. The tree diagram below summarizes information about such a disease and about a medical test for it.\n",
														
 
															     "\n",
														
 
															-    "![Tree Rare Disease](tree_disease_rare.png)"
														
 
															+    "![Tree Rare Disease](../../images/tree_disease_rare.png)"
														
 
															    ]
														
 
															   },
														
 
															   {
														
@@ -248,7 +248,7 @@
 
															    "source": [
														
 
															     "The reason is that a huge fraction of the population doesn't have the disease in the first place. The tiny fraction of those that falsely test Positive are still greater in number than the people who correctly test Positive. This is easier to visualize in the tree diagram:\n",
														
 
															     "\n",
														
 
															-    "![Tree Rare Disease](tree_disease_rare.png)\n",
														
 
															+    "![Tree Rare Disease](../../images/tree_disease_rare.png)\n",
														
 
															     "\n",
														
 
															     "- The proportion of true Positives is a large fraction (0.99) of a tiny fraction (0.004) of the population.\n",
														
 
															     "- The proportion of false Positives is a tiny fraction (0.005) of a large fraction (0.996) of the population.\n",
														
@@ -467,7 +467,7 @@
 
															     {
														
 
															      "data": {
														
 
															       "text/plain": [
														
 
															-       "0.9171075837742504"
														
 
															+       "0.9290909090909091"
														
 
															       ]
														
 
															      },
														
 
															      "execution_count": 10,
														
@@ -506,7 +506,7 @@
 
															    "name": "python",
														
 
															    "nbconvert_exporter": "python",
														
 
															    "pygments_lexer": "ipython3",
														
 
															-   "version": "3.8.5"
														
 
															+   "version": "3.6.12"
														
 
															   }
														
 
															  },
														
 
															  "nbformat": 4,
														
--- a/images/BrittanyWagner.jpg
+++ b/images/BrittanyWagner.jpg
--- a/images/Dugong_dugon.jpg
+++ b/images/Dugong_dugon.jpg