Tutorial 04: [Practical in R] Probability Sampling vs Non Probability Sampling all types

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Statistics and Probability in Urdu/Hindi by Fahad Hussain.

The course design in such a way to kick start the career in Statistics and machine learning using the basic understanding about Statistics and Probability and its application from scratch. In this course we will learn theory and practical of Statistics and Probability of the following topics Basic Statistics Bayesian Statistics and Probability Calculus-Based Statistic Descriptive Statistics Charts, Graphs and Plots Probability Binomial Theorem Definitions for Common Statistics Terms Critical Values Hypothesis Testing Normal Distributions T-Distributions Central Limit Theorem Confidence Intervals Chebyshev’s Theorem Sampling and Finding Sample Sizes Chi Square Online Tables z-table chi-square t-dist etc Regression Analysis / Linear Regression Non Normal Distributions Technology Topic Indexes Percentiles: Modeling data distribution Z-scores Modeling data distribution Effects of linear transformations Modeling data distribution Density curves: Modeling data distribution Normal distributions and the empirical rule Modeling data distribution Normal distribution calculations Modeling data distribution More on normal distributions Counting principle and factorial Counting permutations and combination Permutations Counting permutation Combinations.


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Do subscribe the channel and share to others learner, because this is not only the course it is your dream to start your career in Statistics, Machine Learning, Artificial Intelligence!!!

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