Python package containing functions implemented for descriptive and inferential statistics.
Presently, this package is a work in progress. I will add to this package as I further my study in statistics.
As of now, I have more-or-less covered all topics on Descriptive Statistics, though room for improvement is ever-existent. I have finally touched upon Inferential Statistics, and currently am working to finish it soon.
Contains functions related to Descriptive Statistics, comprising:
- visualizing categorical data into a table
- one function each for mean, median and mode
- one function for all central tendencies
- population variance
- population standard deviation
- one function of sample variance and sample SD
- range, quartiles, IQR of a distribution
- outlier checking and elimination in a distribution
- boxplot summary printing
- Z-scores of a distribution
- proportion using z-table
- randomly selecting all the samples from a population
- sampling distrubution of a population
- standard error of a population
- sample z-score.
In order to use this, you may import the entire module:
from stapy import descriptiveOr, you may include a particular function:
from stapy.descriptive import get_Z_scoresAnd use them as you like:
>>> sample = [205,137,20,90]
>>> get_Z_scores(sample, mean=120, SD=40)
[2.125, 0.425, -2.5, -0.75]More on the use of this module is provided in the testsD.py file.
Contains functions related to Inferential Statistics, comprising:
- approximate margin of error
- confidence intervals
- hypothses testing
- t-statistics
- t-critical value
- Cohen's d
- margin of error
- t-tests
- r2 effective size measure
- dependent samples
- independent samples
- analysis of variance (ANOVA)
- correlation
- regression
- chi-squared tests
Import entire module
from inferential import *Or, a function in the module
from inferential import get_confidence_intervalAnd use by calling the functions.
>>> xbar, sigma, n, z_star = 40, 16.04, 35, 1.96
>>> get_confidence_interval(xbar, sigma, n, z_star)
(34.6859404956286, 45.3140595043714)More on the use of this module is provided in the testI.py file.