Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. In this #statistics course you will about from the basic concepts such as defining statistics to the more advanced topic as hypothesis testing. This course will be beneficial for those who are looking forward to learn: statistics, statistics for data science, statistics for data analysis, statistics and probability etc.
⭐️ Table of Contents ⭐️
⌨️ (0:00:00) What is statistics and related terms
⌨️ (0:19:05) Sampling type
⌨️ (0:39:10) Boxplot and histogram
⌨️ (1:06:15) Measure of center spread
⌨️ (1:43:20) Probability formulas
⌨️ (2:09:25) Contingency table
⌨️ (2:21:30) Bayes theorem
⌨️ (2:35:35) Discrete probability distribution
⌨️ (2:48:40) Binomial distribution
⌨️ (3:08:44) Poisson distribution
⌨️ (3:23:49) Uniform distribution
⌨️ (3:46:53) Normal distribution
⌨️ (4:15:59) Central limit theorem
⌨️ (4:31:00) Confidence interval
⌨️ (4:53:00) Hypothesis testing
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