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Student’s t-test as a hypothesis test

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Introduction

  • discrete — defined on discrete state spaces where the data can take only certain values;
  • continuous — defined on continuous state spaces where the data can take any value in a predefined range.

Binomial and Bernoulli distributions

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Introduction

  • point estimation — the population parameter is estimated based on a single value regardless of new samples that can be added in future;
  • confidence interval estimation — the unknown population…

Predictive modeling cycle:

  1. Data cleaning
  2. Feature engineering
  3. Model building
  4. Model deployment
  5. Model updating
  6. Repeat steps 3–4

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Cumulative distribution function (CDF)

Survival function

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Descriptive and inferential statistics

Descriptive statistics

  • describes the data by summarizing data set characteristics
  • does not posit any hypothesis
  • first step of statistical analysis
  • aims to detect outliers
  • precursor to data preparation and feature engineering

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Introduction

Viktoria Karamysheva

Software Engineer

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