Descriptive Statistics

  • Types of data (raw data, univariate data, bivariate and multi-variate data)
  • Data on various scales (nominal, ordinal, interval and ratio scale)
  • Data representation and visualisation
  • Data interpretation (central tendency, dispersion, deviation, variance, skewness and kurtosis)
  • Percentile rank and quartile rank
  • Correlation (Pearson and Spearman method of correlation)
  • Applications of descriptive statistics using real time data

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