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Introduction to Inferential Statistics
Introduction
Introduction (2:41)
Exercise: Meet Your Classmates and Instructor
Resources - Download Course Materials
Descriptive Statistics
Game Plan for Descriptive Statistics (1:50)
Variable Types in Statistics (2:55)
QUIZ - Variable Types
QUIZ - Variable Types - Explanations
Population vs. Sample (3:28)
CASE STUDY Briefing - Moneyball (2:16)
Python - Setting Up (5:51)
Measures of Central Tendency (3:13)
(Arithmetic) Mean (3:38)
Python - Mean (4:44)
EXERCISE - Mean (2:35)
Median (2:16)
Python - Median (1:51)
EXERCISE - Median (1:08)
Mode (1:27)
Python - Mode (2:34)
EXERCISE - Mode (2:36)
Standard Deviation and Variance (4:56)
Python - Standard Deviation and Variance (5:26)
EXERCISE - Standard Deviation and Variance (2:37)
Coefficient of Variation (4:31)
EXERCISE - Coefficient of Variation (1:03)
Python - Coefficient of Variation (3:25)
Covariance (4:14)
Python - Covariance (3:47)
EXERCISE - Covariance (1:51)
Correlation (6:54)
Python - Correlation (5:36)
EXERCISE - Correlation (2:00)
Normal Distribution (4:08)
Python - Normal Distribution (6:47)
EXERCISE - Normal Distribution (3:11)
PRACTICE TEST: Descriptive Statistics
PRACTICE TEST: Descriptive Statistics - Explanations
CASE STUDY - Moneyball (4:14)
Wrap Up - Descriptive Statistics (1:55)
Implement a New Life System
Confidence Intervals
Game Plan for Confidence Intervals (1:04)
CASE STUDY Briefing - Dioguinis Pizza (1:29)
Standard Error of the Sample Mean (2:17)
Python - Libraries and Data (4:39)
Python - Standard Error of the Sample Mean (2:47)
Z-Score and Standardization (3:12)
Python - Z-Score and Standardization (9:57)
Confidence Level (3:48)
Python - Confidence Level (10:30)
Confidence Intervals for Large Samples (6:17)
Python - Confidence Interval for Large Samples (6:12)
EXERCISE - Confidence Interval Function with ChatGPT (6:55)
CASE STUDY - Guinness Beer and t-distribution (2:35)
Degrees of Freedom (7:13)
Confidence Interval with Small Samples (3:26)
Python - Confidence Interval with Small Samples (8:14)
EXERCISE - Confidence Interval Function with ChatGPT (5:11)
PRACTICE TEST: Confidence Intervals
PRACTICE TEST - Confidence Intervals - Explanations
Confidence Intervals Wrap Up (4:27)
Capstone Project - Lights, Camera, Statistics!
Project Presentation - Lights, Camera, Statistics (2:40)
Python - Data Preparation and Cleaning (20:53)
Python - Exploratory Data Analysis (16:55)
Python - Estimating Average Ratings (11:57)
Python - Conclusions (5:43)
Exercise: Imposter Syndrome
Hypothesis Testing
Game Plan for Hypothesis Testing (3:07)
What is Hypothesis Testing? (4:54)
QUIZ - Hypothesis Testing
QUIZ - Hypothesis Testing - Explanations
P-Value (4:36)
QUIZ - P-value
QUIZ - P-value - Explanations
Type I and Type II Errors (4:05)
QUIZ - Type I and Type II Errors
QUIZ - Type I and Type II Errors - Explanations
CASE STUDY - Publication Bias in Statistics (2:58)
How to Test Your Hypothesis (Known Population Variance). (6:50)
CASE STUDY Briefing - Tesla Production (1:48)
Python - Setting Up and Libraries (2:52)
Python - How to Test Your Hypothesis (Known Population Variance) (12:00)
Python - Build a Function to Test Your Known Variance Hypothesis (5:22)
Hypothesis Testing with Unknown Population Variance (2:54)
Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 1 (11:02)
Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 2 (6:38)
Paired T-Test (3:54)
Python - Paired T-Test - Part 1 (10:39)
Python - Paired T-Test - Part 2 (3:30)
Two Sample T-Test (5:30)
Python - Levene's Test (8:04)
Python - Welch's T-Test (3:44)
Python - Two-Sample T-Test (2:12)
Exercise - Two-Sample Test Function (4:41)
One-Tailed Test vs. Two-Tailed Test (5:50)
Python - One-Tailed Test with Known Variance (7:27)
Python - One-Tailed Test with Unknown Variance (5:39)
Python - One-Tailed Paired T-Test (5:54)
Python - One-Tailed Two-Sample T-Test (5:29)
Chi-Square Test (8:54)
Python - Chi-Square Test (10:18)
Is Your Distribution Normal? - The Shapiro-Wilks Test (2:43)
Python - Shapiro-Wilks Test (5:34)
PRACTICE TEST - Hypothesis Testing
PRACTICE TEST - Hypothesis Testing - Explanations
Powerposing and P-Hacking (3:39)
Hypothesis Testing Wrap Up (2:43)
Capstone Project - ChatGPT Data Analysis
Capstone Project with ChatGPT - Yelp me! (2:43)
Python Solutions - Data (14:41)
Python Solutions - Hypothesis 1 (11:19)
Python Solutions - Hypothesis 2 (9:07)
Python Solutions - Hypothesis 3 (8:41)
Advanced Hypothesis Testing
Game Plan for Advanced Hypothesis Testing (4:51)
Python - Setup (4:07)
Mann-Whitney U Test (6:24)
Python - Box plot for Normality (3:32)
Python - Shapiro Wilks Test (3:32)
D'Agostino and Pearson Test (5:00)
Python - D'Agostino and Pearson Test (2:59)
Python - Mann-Whitney U Test (3:53)
ANOVA (4:37)
Python - ANOVA (8:38)
Python - D'Agostino and Pearson Test (2:06)
Kruskal-Wallis Test (3:31)
Python - Kruskal-Wallis Test (3:14)
Spearman Correlation (4:34)
Python - Spearman Correlation (5:36)
Wilcoxon Signed-Rank Test (4:06)
Python - Wilcoxon Signed-Rank Test (8:07)
Key Learnings and Outcomes - Advanced Hypothesis Testing (2:32)
Where To Go From Here?
Let's Keep Learning Together! (0:51)
Review This Byte!
Population vs. Sample