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# scipy | |||
import scipy | |||
print('scipy: {}'.format(scipy.__version__)) | |||
# numpy | |||
import numpy | |||
print('numpy: {}'.format(numpy.__version__)) | |||
# matplotlib | |||
import matplotlib | |||
print('matplotlib: {}'.format(matplotlib.__version__)) | |||
# pandas | |||
import pandas | |||
print('pandas: {}'.format(pandas.__version__)) | |||
Execute the above [[source code]] and confirm whether or not [[scipy]], [[numpy]], [[matplotlib]], and [[pandas]] are installed. | |||
If they are not installed, you can install them with the below [[command]]s. | |||
pip3 install pandas | |||
pip3 install scipy | |||
pip3 install matplotlib | |||
"numpy" will be installed altogether when "pandas" is installed. | |||
=== Parametric statistics === | |||
[[Parametric statistics]] | |||
=== | ==== Z-test ==== | ||
[[Z-test]] | |||
==== t-test ==== | |||
[[Student's t-test]] | |||
Mann-Whitney rank test | |||
Unpaired and paired two-sample t-tests | |||
Independent (unpaired) samples | |||
Paired samples | |||
==== Chi-squared test ==== | |||
[[Chi-squared test]] | |||
==== Regression analysis ==== | |||
[[Regression analysis]] | |||
[[Linear regression]] | |||
==== Analysis of variance ==== | |||
[[Analysis of variance]] ([[ANOVA]]) | |||
One-way (one factor) ANOVA | |||
==== Pearson correlation coefficient ==== | |||
[[Pearson correlation coefficient]] | |||
=== Nonparametric statistics === | |||
[[Nonparametric statistics]] | |||
[[Rank test]] | |||
==== Wilcoxon signed-rank test ==== | |||
[[Wilcoxon signed-rank test]] | |||
==== Kruskal–Wallis one-way analysis of variance ==== | |||
[[Kruskal–Wallis one-way analysis of variance]] | |||
==== Mann-Whitney U test ==== | |||
[[Mann–Whitney U test]] | |||
[[Mann-Whitney rank test]] | |||
==== Spearman's rank correlation coefficient ==== | |||
[[Spearman's rank correlation coefficient]] | |||
== Introduction == | == Introduction == |
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