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) Sampling distributions and the central limit theorem
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Classroom Contents
Statistics - A Full University Course on Data Science Basics
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- 1 ) What is statistics
- 2 ) Sampling
- 3 ) Experimental design
- 4 ) Randomization
- 5 ) Frequency histogram and distribution
- 6 ) Time series, bar and pie graphs
- 7 ) Frequency table and stem-and-leaf
- 8 ) Measures of central tendency
- 9 ) Measure of variation
- 10 ) Percentile and box-and-whisker plots
- 11 ) Scatter diagrams and linear correlation
- 12 ) Normal distribution and empirical rule
- 13 ) Z-score and probabilities
- 14 ) Sampling distributions and the central limit theorem
