Author: Geek’s Lesson

In this course you will learn about #statistics and #probability by solving practical problem. Along the way you will solve statistics and probability practice questions and learn their concepts.

⭐ Table of Contents ⭐

⌨️ (0:00) Statistics Example: Sample and Population

⌨️ (1:07) Statistics Example: Representative sample

⌨️ (3:10) Statistics Example: Representative sample 2

⌨️ (4:40) Statistics Example: Sampling methods

⌨️ (8:58) Statistics Example: Dot plot

⌨️ (11:59) Statistics Example: Frequency table

⌨️ (13:02) Statistics Example: Frequency distribution

⌨️ (15:43) Statistics Example: Grouped frequency distribution

⌨️ (18:57) Statistics Example: Histogram

⌨️ (21:05) Statistics Example: Bar chart

⌨️ (23:26) Statistics Example: Stem and leaf plot

⌨️ (26:02) Statistics Example: Scatter plot

⌨️ (29:51) Statistics Example: Median

⌨️ (31:55) Statistics Example: Weighted average

⌨️ (35:03) Statistics Example: Mode

⌨️ (35:45) Statistics Example: Range

⌨️ (36:52) Statistics Example: Standard deviation

⌨️ (39:33) Statistics Example: Regression line

⌨️ (41:09) Statistics Example: Statistical prediction

⌨️ (43:50) Statistics Example: Linear regression

⌨️ (50:46) Statistics Example: The empirical rule

⌨️ (51:39) Statistics Example: The empirical rule 2

⌨️ (53:19) Statistics Example: The empirical rule 3

⌨️ (57:19) Statistics Example: Z-scores

⌨️ (58:50) Statistics Example: Z-scores 2

⌨️ (1:00:45) Statistics Example: Margin of error

⌨️ (1:00:45) Probability – sample space

⌨️ (1:05:11) Probability – sample space 2

⌨️ (1:06:07) Probability example – rolling a die

⌨️ (1:07:43) Probability example – drawing a card

⌨️ (1:08:31) Probability example – picking a co0kie

⌨️ (1:09:41) Probability example – empirical probability

⌨️ (1:10:32) Empirical probability example 2

⌨️ (1:11:36) Empirical probability example 3

⌨️ (1:13:25) Probability example – Demonstrating the law of large number

⌨️ (1:15:50) Probability example – Or with disjoint event

⌨️ (1:18:05) Probability example – Or with disjoint event 2

⌨️ (1:20:17) Probability example – Or with non-disjoint event

⌨️ (1:22:44) Probability example – Or with non-disjoint event 2

⌨️ (1:25:23) Probability example – not hearts

⌨️ (1:26:37) Probability example – not correct answer for multiple choice

⌨️ (1:27:48) Probability example – not female

⌨️ (1:28:47) Probability example – independent events

⌨️ (1:30:48) Probability example – coins and dice

⌨️ (1:31:58) Probability example – And with independent events

⌨️ (1:33:34) Probability example – And with independent events 2

⌨️ (1:34:56) Probability example – And with dependent events

⌨️ (1:36:26) Probability with M&Ms

⌨️ (1:43:40) Conditional probability with contingency table

⌨️ (1:45:36) Fundamental counting principle

⌨️ (1:46:41) Fundamental counting principle 2

⌨️ (1:47:27) Fundamental counting principle 3

⌨️ (1:48:17) include factorials

⌨️ (1:49:51) Probability example – permutations

⌨️ (1:52:39) Probability example – permutations 2

⌨️ (1:54:30) Probability example – combinations

⌨️ (1:56:38) Probability example – combinations 2

⌨️ (1:57:23) Probability example – combinations 3

⌨️ (1:58:03) Probability with the fundamental counting principle

⌨️ (1:59:30) Probability with combinations

⌨️ (2:01:22) Probability with combinations 2

⌨️ (2:03:47) Probability with permutations

⭐ Credit ⭐

Course Author: Josiah Hartley

License: Creative Commons CC-BY-SA license

Book: http://hartleymath.com/versatilemath/read

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