Descriptive statistics | Probability and Statistics | Khan Academy (English)

   Tuesday, July 06, 2021   

Starting a new Lecture Notes Series on Descriptive statistics | Probability and Statistics | Khan Academy

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Descriptive statistics | Probability and Statistics | Khan Academy
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Lecture Description of this above Topic:

Lecture 1: Constructing a box and whisker plot

Lecture 2: Simulation providing evidence that (n-1) gives us unbiased estimate

Lecture 3: Exploring standard deviation 1 module

Lecture 4: Statistics: Variance of a population

Lecture 5: Finding the range and mid-range

Lecture 6: Simulation showing bias in sample variance

Lecture 7: Sample standard deviation and bias

Lecture 8: Range, variance and standard deviation as measures of dispersion

Lecture 9: Another simulation giving evidence that (n-1)

Lecture 10: Statistics: Standard deviation

Lecture 11: Review and intuition why we divide by n-1 for the unbiased sample

Lecture 12: Population standard deviation

Lecture 13: Statistics: Sample variance

Lecture 14: Box and whisker plot

Lecture 15: Variance of a population

Lecture 16: Means and medians of different distributions

Lecture 17: Statistics intro: Mean, median, and mode

Lecture 18: Sample variance

Lecture 19: Finding mean, median, and mode

Lecture 20: Inferring population mean from sample mean

Lecture 21: Exploring the mean and median

Lecture 22: Comparing means of distributions

Lecture 23: Statistics: Alternate variance formulas

Lecture 24: Statistics: The average