Login
📚 Statistical Inference for Everyone
Chapters ▾
1 Introduction to Probability2 Applications of Probability3 Random Sequences and Visualization4 Introduction to Model Comparison5 Applications of Model Comparison6 Introduction to Parameter Estimation7 Priors, Likelihoods, and Posteriors8 Common Statistical Significance Tests9 Applications of Parameter Estimation and Inference10 Multi-parameter Models11 Introduction to MCMC12 Concluding Thoughts13 Appendix A: Computational Analysis14 Appendix B: Notation and Standards15 Appendix C: Common Distributions and Their Properties16 Appendix D: Tables

3.6 Computer Examples

This section summarizes how to make histograms and scatter plots with the computer software.

Histograms

from sie import *

Load a sample data set, and select only the Male data...

data=load_data('data/survey.csv')
male_data=data[data['Sex']=='Male']

select only the height data, and drop the missing data (na)...

male_height=male_data['Height'].dropna()

make the histogram

hist(male_height,bins=20)
xlabel('Height [cm]')
ylabel('Number of People')
Show expected output
<matplotlib.text.Text at 0x1085728d0>
Histogram of the class height data in centimeters produced by the sample code: bars from about 155 to 200 cm with the tallest bar of 16 people just above 180 cm.

Scatter Plot

from sie import *

Load a sample data set, and select only the Male data...

data=load_data('data/survey.csv')
male_data=data[data['Sex']=='Male']

select only the height and the width of writing hand data, and drop the missing data (na)...

subdata=male_data[['Height','Wr.Hnd']].dropna()
height=subdata['Height']
wr_hand=subdata['Wr.Hnd']

plot the data

plot(height,wr_hand,'o')
ylabel('Writing Hand Span [cm]')
xlabel('Height [cm]')
Show expected output
<matplotlib.text.Text at 0x1085774d0>
Scatter plot from the sample code of writing hand span against height for the class data: a broad cloud of points between 150-200 cm height and 16-23 cm span, drifting upward to the right.

Adapted from Statistical Inference for Everyone, by Brian Blais (Bryant University), licensed under CC BY-SA 4.0 (dual-licensed under the GNU FDL 1.2 or later; this adaptation uses the CC BY-SA grant). Changes were made; this adaptation is distributed under the same license. License: CC-BY-SA-4.0.