During this presentation we show an overview of the main statistical techniques used in the field ofscientific research, able to transform idataininformationuseful and understandable, highlighting the irregularities and verifying the statistical hypotheses.
The aim is to highlight the professionalism combined with the ease of use ofStatistics for Data Analysisthrough the use of practical examples.

Subjects:

• Descriptive statistics

  • Qualitative variables

  • Quantitative variables

• Normal curve

• Statistical inference

  • The statistical test and the p. Value 

  • Confidence interval

  • Comparison of means (t-test and analysis of variance)

  • Crosstabs (chi-squared test)

• Introduction to linear and logistic models

Look at all the features of the ModuleStatistics Basic: