# General Statistics Online Course by Dr. Philip Yates, Ph.D

## General Statistics Online Course by Dr. Philip Yates, Ph.D Description

Section 1: Introduction

• Basic Ideas 17:34

Section 2: Exploring Data

• Raw Data, Dotplots, Stemplots 27:24
• Histograms, Cumulative Frequency Plots 10:21
• Summarizing Distributions, Measuring Center 16:04
• Measuring Spread: Range, IQR, Standard Deviation 18:04
• Measuring Position: Quartiles, Percentiles, Standardized Scores 16:28
• Boxplots 15:37
• Comparing Distributions of Univariate Data 24:19
• Exploring Bivariate Data: Scatterplots 13:45
• Least Squares Regression 17:32
• Exploring Categorical Data 17:00

Section 3: Sampling and Experimentation

• Methods of Data Collection 12:04
• Planning and Conducting Surveys 13:51
• Planning and Conducting Experiments 19:32

Section 4: Probability

• Experiment, Outcomes, and Sample Space 14:54
• Calculating Probability 14:13
• Probability and Events 22:08
• Intersection of Events and the Multiplication Rule 19:58
• Union of Events and the Addition Rule 18:28
• Bayes’ Rule 16:59

Section 5: Discrete Random Variables and Probability Distribution

• Random Variables 7:52
• Probability Distribution of a Discrete Random Variable 15:55
• Mean and Standard Deviation of a Discrete Random Variable 17:37
• Factorials, Combinations, Permutations 15:43
• Binomial Probability Distribution 21:38
• Poisson Probability Distribution 13:40
• Geometric and Hypergeometric Probability Distributions 19:08
• Combining Independent Random Variables 20:26

Section 6: Continuous Random Variables and the Normal Distribution

• Continuous Probability Distribution 6:19
• Normal Distribution 6:42
• Standard Normal Distribution 13:25
• Standardizing a Normal Distribution 12:22
• Applications of the Normal Distribution 12:20
• Finding Values When the Probability is Known 12:44

Section 7: Sampling Distributions

• Population and Sampling Distributions 12:02
• Mean, Standard Deviation, and the Shape of the Sampling Distribution of the Sampling Mean 4:57
• Applications of the Sampling Distribution of the Sample Mean 14:50
• Mean, Standard Deviation, and the Shape of the Sampling Distribution of the Sample Proportion 3:58
• Applications of the Sampling Distribution of the Sample Proportion 10:4

Section 8: Estimation of the Mean and Proportion

• Introduction to Estimation 12:52
• Estimation of a Population Mean: Standard Deviation Known 17:03
• Sample Size for Estimation of a Population Mean 10:39
• Estimation of Population Mean: Sigma Not Known 19:25
• Estimation of Population Proportion: Large Sample 17:26
• Large Sample Confidence Intervals for Difference in Population Proportion 16:16
• Confidence Intervals for a Difference in Means 27:58
• Confidence Intervals for the Slope of a Least Squares Regression Line 18:47

Section 9: Tests of Significance

• Introduction: Hypothesis Tests 14:09
• Large Sample Test for a Proportion 14:30
• Large Sample Test for a Difference in Two Proportions 19:14
• Test for a Mean 14:57
• Test for a Difference Between Two Means 23:13
• Chi-Square Tests: One Way and Two Way 24:33
• Hypothesis Testing for the Slope of a Least Squares Regression Line 17:48

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