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Hypothesis testing on datasets

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chisquare-test data exploratory-data-analysis fifa hypothesis-testing kruskal-wallis network one-way-anova python scipy-stats

eda-inferential-statistical-analysis-of-fifa-and-mobile_network-dataset's Introduction

Inferential statistical Analysis & Exploratory Data analysis of Fifa and Mobile_Network dataset (Hypothesis testing)

Objectives -

  • To understand the data using descriptive statistics using pandas, Numpy.
  • Derive Insights based on descriptive statistics.
  • To visualize data using Matplotlib & Seaborn liabraries.
  • To test hypothesis on samples of different features and check for dependencies.
  • To understand Parametric & Non-parametric hypothesis testing.

Outcomes -

  • Getting ability to transform a given problem to Hypothesis to make inference
  • Understanding the need & applicability of Hypothesis testing
  • Assumptions before testing hypothesis
  • Formulation of Hypothesis
  • Sampling distribution, Standard Error, Confidence Interval, ANNOVA, KRUSKAL-WALLIS, T-tests, Chi-square test.

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