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T-Test with Statistics for Data Analysis

The T-Test is a statistical technique used to compare the means of two independent groups.
It is useful determine whether the observed differences between the means are statistically significant or could be due to chance.
This test is fundamental in multiple research fields, to validate hypotheses and make data-driven decisions. 

In this video we will see:
•    An overview of estimation theory and statistical inference
•    Differences between parametric and non-parametric tests
•    Prerequisites and application of the T-Test
•    A practical example with Statistics for Data Analysis 

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