stapy

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.

Modules in this package

descriptive.py

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 descriptive

Or, you may include a particular function:

from stapy.descriptive import get_Z_scores

And 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.

inferential.py

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

Usage

Import entire module

from inferential import *

Or, a function in the module

from inferential import get_confidence_interval

And 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.

License

MIT License