datasets

Module for managing sample/population data

• class DataSet: contains sample or population data

• class DataSets: base class for managing data sets

final class boring_math.probability_distributions.datasets.DataSet

Bases: object

Class containing sample or population data.

• all data internally stored as floats (even integer data)

• data sorted smallest to largest

• methods provided to

  • read in data from a file

  • computing data statistics

  • add or remove data

classmethod read_data_from_file(file_name: str, sample: bool = False) → MayBe[Self]

Read in data from a text file, return a DataSet object.

The text file should

• have one number (float) per line and calculate statistics

  • if sample is true (default), calculate sample stats

  • if sample is false, calculate population stats

• blank lines and lines beginning with ‘#’ are ignored

__init__(*data: int | float, sample: bool = False) → None

_calculate_stats() → None

Calculate data statistics

_calculate_mean() → MayBe[float]

Calculate the mean of the data set, if it exists.

_calculate_stdev() → MayBe[float]

From the data set, calculate & return the stdev if it exists.

• If sample is True, calculate a sample standard deviation

• If sample is False, calculate a population standard deviation

_calculate_quartiles() → MayBe[tuple[float, float, float]]

Calculate first, second (median), and third quartiles

Using the “trimmed mid-range” of the data.

class boring_math.probability_distributions.datasets.DataSets

Bases: object

Base class for managing data sets.

• data sets can be samples or populations

• methods provided to

  • add or remove data sets

  • plot data sets

• how they are related to each other is up to the user of the class

__init__() → None