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GATE DA Exam Prep
·
Module 1
Core Statistics for Data Science
1
Common Probability Distributions
Review key discrete (Binomial, Poisson) and continuous (Normal, Exponential) distributions.
2
Understanding Distributions for Statistical Testing
Introduce distributions for statistical testing (t-distribution, Chi-squared).
3
Understanding the Central Limit Theorem and Its Sampling Significance
Explain the Central Limit Theorem and its importance for sampling.
4
Introduction to Hypothesis Testing
Describe the hypothesis testing framework (null/alternative, p-value, z/t/chi-squared tests).
5
Understanding Confidence Intervals
Define confidence intervals and their interpretation in relation to sample estimates.
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Essential Mathematical Foundations