Statistic

Overview

The field of statistics encompasses the collection, analysis, interpretation, presentation, and organization of data through mathematical methods and models. Statistical methods are utilized to analyze data, make predictions, and inform decisions based on probability and statistical analysis. This field is widely applicable, finding use in many domains, including business, finance, engineering, medicine, and the social sciences, among others, to gain insights and inform decisions based on empirical data.

Descriptive Statistics

  • Measure of Frequency and Central Tendency
  • Measure of Dispersion
  • Probability Distribution
  • Gaussian Normal Distribution
  • Skewness and Kurtosis
  • Regression Analysis
  • Continuous and Discrete Functions
  • Goodness of Fit
  • ANOVA

Inferential Statistics

  • t-Test
  • z-Test
  • Hypothesis Testing
  • Type I and Type II errors
  • t-Test and its types
  • One way ANOVA
  • Two way ANOVA
  • Chi-Square Test
  • Implementation of continuous and categorical data

Investigate essential statistical concepts ranging from measurements of central tendency like mean and median to measures of dispersion like standard deviation. This instructional resource intends to provide thorough insights, improving statistical comprehension and increasing statistical skills. Use of statistical approaches to solve real-world problems in a variety of industrial areas.

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Last updated on Dec 30, 2023