diff --git a/01-IntroductionToPython.html b/01-IntroductionToPython.html index 2be3045..89b9920 100644 --- a/01-IntroductionToPython.html +++ b/01-IntroductionToPython.html @@ -660,7 +660,7 @@

Functions -
-0.16732079539678754
+
-0.2440954560387019
@@ -674,8 +674,8 @@

Functions -
array([ 93.87826084, 107.02436875,  87.70148102, 107.76083003,
-       116.53109624])
+
array([122.35642131,  81.23506534,  82.55897256, 127.60903764,
+        69.18065528])
diff --git a/03-DataVisualization.html b/03-DataVisualization.html index ecf3ed9..928be90 100644 --- a/03-DataVisualization.html +++ b/03-DataVisualization.html @@ -318,7 +318,7 @@

Bar vs. line plots -
[<matplotlib.lines.Line2D at 0x7f288ee47190>]
+
[<matplotlib.lines.Line2D at 0x7fd04ebd0340>]
 

 

 _images/03-DataVisualization_14_1.png
@@ -333,7 +333,7 @@ 
Bar vs. line plots
-
<matplotlib.axes._subplots.AxesSubplot at 0x7f288edf3d60>
+
<matplotlib.axes._subplots.AxesSubplot at 0x7fd04eb7d160>
 

 

 _images/03-DataVisualization_16_1.png
@@ -376,7 +376,7 @@ 
Plots with two variables
-
<matplotlib.axes._subplots.AxesSubplot at 0x7f288ec89580>
+
<matplotlib.axes._subplots.AxesSubplot at 0x7fd04ea14a90>
 

 

 _images/03-DataVisualization_23_1.png
@@ -396,7 +396,7 @@ 
Plotting dispersion
-
<matplotlib.axes._subplots.AxesSubplot at 0x7f288eb371c0>
+
<matplotlib.axes._subplots.AxesSubplot at 0x7fd04e8c2190>
 

 

 _images/03-DataVisualization_26_1.png
@@ -412,7 +412,7 @@ 
Plotting dispersion
-
<matplotlib.axes._subplots.AxesSubplot at 0x7f288c441c40>
+
<matplotlib.axes._subplots.AxesSubplot at 0x7fd047fd25e0>
 

 

 _images/03-DataVisualization_28_1.png
diff --git a/04-FittingSimpleModels.html b/04-FittingSimpleModels.html
index 82d3656..6179ce2 100644
--- a/04-FittingSimpleModels.html
+++ b/04-FittingSimpleModels.html
@@ -358,8 +358,8 @@ 
Mode

 

 
a    2
-b    1
 c    1
+b    1
 Name: myvar, dtype: int64
 

 

@@ -485,7 +485,7 @@ 
Variability
-
118.0052013422819
+
92.39526800894856
 

 

 

@@ -498,7 +498,7 @@ 
Variability
-
118.00520134228196
+
92.39526800894845
 

 

 

@@ -512,7 +512,7 @@ 
Variability
-
10.863019899746197
+
9.612245731822952
 

 

 

@@ -525,7 +525,7 @@ 
Variability
-
10.8630198997462
+
9.612245731822947
 

 

 

@@ -559,10 +559,10 @@ 
Z-scores
-
(array([ 6., 15., 21., 29., 20., 21., 21., 10.,  5.,  2.]),
- array([-2.05559782, -1.58611511, -1.1166324 , -0.64714969, -0.17766699,
-         0.29181572,  0.76129843,  1.23078114,  1.70026385,  2.16974655,
-         2.63922926]),
+
(array([ 2., 19., 24., 28., 23., 26., 11.,  8.,  4.,  5.]),
+ array([-2.05474009, -1.57618387, -1.09762765, -0.61907143, -0.1405152 ,
+         0.33804102,  0.81659724,  1.29515346,  1.77370968,  2.25226591,
+         2.73082213]),
  <a list of 10 Patch objects>)
 

 

@@ -577,7 +577,7 @@ 
Z-scores
-
<matplotlib.collections.PathCollection at 0x7f1ffead45e0>
+
<matplotlib.collections.PathCollection at 0x7f42a4962c10>
 

 

 _images/04-FittingSimpleModels_48_1.png
diff --git a/06-Sampling.html b/06-Sampling.html
index 4b86ee9..f15a42e 100644
--- a/06-Sampling.html
+++ b/06-Sampling.html
@@ -285,7 +285,7 @@ 
Sampling error
-
[<matplotlib.lines.Line2D at 0x7f155446ee50>]
+
[<matplotlib.lines.Line2D at 0x7f56d46860d0>]
 

 

 _images/06-Sampling_5_1.png
@@ -438,7 +438,7 @@ 
Confidence intervals
 

-
0.958
+
0.953
 

 

 

diff --git a/08-HypothesisTesting.html b/08-HypothesisTesting.html
index d91507c..b7ad0c7 100644
--- a/08-HypothesisTesting.html
+++ b/08-HypothesisTesting.html
@@ -254,7 +254,7 @@ 
Simple example: Coin-flipping
-
0.010000000000005116
+
0.0
 

 

 

@@ -326,7 +326,7 @@ 
Simulating p-values
-
0.0512
+
0.0516
 

 

 

diff --git a/10-BayesianStatistics.html b/10-BayesianStatistics.html
index 23b99b1..7e6e9b2 100644
--- a/10-BayesianStatistics.html
+++ b/10-BayesianStatistics.html
@@ -318,7 +318,7 @@ 
Estimating posterior distributions
-
<matplotlib.legend.Legend at 0x7f1ad373bb80>
+
<matplotlib.legend.Legend at 0x7f0804362dc0>
 

 

 _images/10-BayesianStatistics_5_1.png
@@ -362,7 +362,7 @@ 
Estimating posterior distributions
-
<matplotlib.legend.Legend at 0x7f1ad36bbb80>
+
<matplotlib.legend.Legend at 0x7f08042e3d90>
 

 

 _images/10-BayesianStatistics_7_1.png
diff --git a/13-GeneralLinearModel.html b/13-GeneralLinearModel.html
index 6bc52dd..c01f82c 100644
--- a/13-GeneralLinearModel.html
+++ b/13-GeneralLinearModel.html
@@ -280,7 +280,7 @@ 
Linear regression
-
<matplotlib.collections.PathCollection at 0x7fe809e679a0>
+
<matplotlib.collections.PathCollection at 0x7febd5275be0>
 

 

 _images/13-GeneralLinearModel_3_1.png
@@ -310,10 +310,10 @@ 
Linear regression
-
0.9328350998082222
+
0.9328350998082221
 

 

 

@@ -456,7 +456,7 @@ 
Examples of problematic model fit
-
<matplotlib.collections.PathCollection at 0x7fe801962b50>
+
<matplotlib.collections.PathCollection at 0x7febccb2f850>
 

 

 _images/13-GeneralLinearModel_17_1.png
@@ -483,10 +483,10 @@ 
Examples of problematic model fit
+
Predicted  False  True 
+Diabetes               
+0           4397     53
+1            759     58
+

+

 

 
/opt/conda/lib/python3.8/site-packages/pandas/core/indexing.py:671: SettingWithCopyWarning: 
 A value is trying to be set on a copy of a slice from a DataFrame
@@ -854,12 +860,6 @@ 
Cross-validation
Predicted  False  True 
-Diabetes               
-0           4397     53
-1            759     58
-

-

 
0.7841971861977913
 

 

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diff --git a/_sources/index.md b/_sources/index.md
index c308dfd..9b798ab 100644
--- a/_sources/index.md
+++ b/_sources/index.md
@@ -23,7 +23,7 @@ I apologize up front that the datasets are heavily US-centric.  This is primaril
 
 This book is meant to be a living document, which is why its source is available online at [https://github.com/statsthinking21/statsthinking21-python](https://github.com/statsthinking21/statsthinking21-python).  If you find any errors in the book or want to make a suggestion for how to improve it, please open an issue on the Github site. Even better, submit a pull request with your suggested change.  
 
-The book is licensed according to the [Creative Commons Attribution 2.0 Generic (CC BY 2.0) License](https://creativecommons.org/licenses/by/2.0/).  Please see the terms of that license for more details. 
+This book is licensed using the [Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)  License](https://creativecommons.org/licenses/by-nc/4.0/).  Please see the terms of that license for more details. 
 
 ## Acknowledgements
 
diff --git a/index.html b/index.html
index 76ff7fb..af8998a 100644
--- a/index.html
+++ b/index.html
@@ -237,7 +237,7 @@ 
The golden age of data
 
An open source book

 
This book is meant to be a living document, which is why its source is available online at https://github.com/statsthinking21/statsthinking21-python.  If you find any errors in the book or want to make a suggestion for how to improve it, please open an issue on the Github site. Even better, submit a pull request with your suggested change.

-
The book is licensed according to the Creative Commons Attribution 2.0 Generic (CC BY 2.0) License.  Please see the terms of that license for more details.

+
This book is licensed using the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)  License.  Please see the terms of that license for more details.

 

 

 
Acknowledgements

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