Statistics with R – Beginner Level

Statistics with R – Beginner Level

Basic statistical analyses using the R program

What you’ll learn

  • manipulate data in R (filter and sort data sets, recode and compute variables)
  • compute statistical indicators (mean, median, mode etc.)
  • determine skewness and kurtosis
  • get statistical indicators by subgroups of the population
  • build frequency tables
  • build cross-tables
  • create histograms and cumulative frequency charts
  • build column charts, mean plot charts and scatterplot charts
  • build boxplot diagrams
  • check the normality assumption for a data series
  • detect the outliers in a data series
  • perform univariate analyses (one-sample t test, binomial test, chi-square test for goodness-of-fit)

Requirements

  • R and R studio
  • knowledge of basic statistics

Who this course is for:

  • students
  • PhD candidates
  • academic researchers
  • business researchers
  • University teachers
  • anyone looking for a job in the statistical analysis field
  • anyone who is passionate about quantitative analysis
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