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

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

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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