# Statistics and Probability full course with examples

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.

⌨️ (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