Канал: Stephen Carden

Exam 3 Review

Exam 3 Review

STAT 1401 Exam 2 Review

STAT 1401 Exam 2 Review

STAT 1401 Syllabus Review Spring 2024

STAT 1401 Syllabus Review Spring 2024

STAT 5660 Lecture 20 Variable Selection

STAT 5660 Lecture 20 Variable Selection

STAT 5660 Lecture 19 Training, Validation, Testing

STAT 5660 Lecture 19 Training, Validation, Testing

STAT 5660 Lecture 18 Evaluation, Confusion, The ROC curve

STAT 5660 Lecture 18 Evaluation, Confusion, The ROC curve

STAT 5660 Lecture 17 Neural Networks

STAT 5660 Lecture 17 Neural Networks

STAT 5660 Lecture 16 Support Vector Machines

STAT 5660 Lecture 16 Support Vector Machines

STAT 5660 Lecture 15 Discriminant Analysis

STAT 5660 Lecture 15 Discriminant Analysis

STAT 5660 Lecture 14 Logistic Regression

STAT 5660 Lecture 14 Logistic Regression

STAT 5660 Lecture 13 Classification Trees

STAT 5660 Lecture 13 Classification Trees

STAT 5660 Lecture 12 k Nearest Neighbors Classification

STAT 5660 Lecture 12 k Nearest Neighbors Classification

STAT 5660 Lecture 11 Linear Regression

STAT 5660 Lecture 11 Linear Regression

STAT 5660 Lecture 10 Gradient Descent

STAT 5660 Lecture 10 Gradient Descent

STAT 5660 Lecture 9 Regression Trees

STAT 5660 Lecture 9 Regression Trees

STAT 5660 Lecture 8 k Nearest Neighbors Regression

STAT 5660 Lecture 8 k Nearest Neighbors Regression

STAT 5660 Lecture 7 Plotting

STAT 5660 Lecture 7 Plotting

STAT 5660 Lecture 6 Programming, Iteration, Debugging

STAT 5660 Lecture 6 Programming, Iteration, Debugging

STAT 5660 Lecture 5 Functions, Packages, Environments

STAT 5660 Lecture 5 Functions, Packages, Environments

STAT 5660 Lecture 4 Data Structures

STAT 5660 Lecture 4 Data Structures

STAT 5660 Lecture 3 Data Types

STAT 5660 Lecture 3 Data Types

STAT 5660 Lecture 2 Navigating RStudio

STAT 5660 Lecture 2 Navigating RStudio

STAT 5660 Lecture 1 The Big Ideas

STAT 5660 Lecture 1 The Big Ideas

STAT 5660 Syllabus review - Summer 2022

STAT 5660 Syllabus review - Summer 2022

STAT 7134 Lecture 16 Variable Selection; Ridge and LASSO regression

STAT 7134 Lecture 16 Variable Selection; Ridge and LASSO regression

STAT 7134 Lecture 14 Diagnostics for Multiple Regression

STAT 7134 Lecture 14 Diagnostics for Multiple Regression

STAT 7134 Lecture 15 Multicollinearity

STAT 7134 Lecture 15 Multicollinearity

STAT 7134 Lecture 13 ANOVA for Multiple Regression

STAT 7134 Lecture 13 ANOVA for Multiple Regression

STAT 7134 Lecture 12 Cochran's Theorem

STAT 7134 Lecture 12 Cochran's Theorem

STAT 7134 Lecture 11 Categorical Predictors Interactions

STAT 7134 Lecture 11 Categorical Predictors Interactions

STAT 7134 Lecture 10 Multiple Linear Regression

STAT 7134 Lecture 10 Multiple Linear Regression

STAT 7134 Lecture 9 Matrix Approach to Simple Linear Regression

STAT 7134 Lecture 9 Matrix Approach to Simple Linear Regression

STAT 7134 Lecture 8 Weighted Least Squares

STAT 7134 Lecture 8 Weighted Least Squares

STAT 7134 Lecture 7 Departure from Normality

STAT 7134 Lecture 7 Departure from Normality

STAT 7134 Lecture 5 Residuals, Leverage, Outliers, Influence

STAT 7134 Lecture 5 Residuals, Leverage, Outliers, Influence

STAT 7134 Lecture 6 Transformations for Simple Linear Regression

STAT 7134 Lecture 6 Transformations for Simple Linear Regression

STAT 7134 Lecture 4 The ANOVA Approach

STAT 7134 Lecture 4 The ANOVA Approach

STAT 7134 Lecture 3 Inference for Means and Predictions

STAT 7134 Lecture 3 Inference for Means and Predictions

STAT 7134 Lecture 2 Inference on Parameters

STAT 7134 Lecture 2 Inference on Parameters

STAT 7134 Lecture 1 Simple Linear Regression

STAT 7134 Lecture 1 Simple Linear Regression

R From the Ground Up - Lecture 4 - Functions, Packages, Environments

R From the Ground Up - Lecture 4 - Functions, Packages, Environments

R From the Ground Up - Lecture 3 - Attributes, Classes, Factors, Lists, Data Frames

R From the Ground Up - Lecture 3 - Attributes, Classes, Factors, Lists, Data Frames

R From the Ground Up - Lecture 2 - Atomic Vectors

R From the Ground Up - Lecture 2 - Atomic Vectors

R From the Ground Up - Lecture 1 - Navigating RStudio

R From the Ground Up - Lecture 1 - Navigating RStudio

STAT 1401 Lecture 31 Two Sample Test for Proportions

STAT 1401 Lecture 31 Two Sample Test for Proportions

STAT 1401 Lecture 30 Two-sample Tests for Means

STAT 1401 Lecture 30 Two-sample Tests for Means

STAT 7331 Lecture 9 Distributions Gamma, Normal, Beta

STAT 7331 Lecture 9 Distributions Gamma, Normal, Beta

STAT 1401 Syllabus Review Fall 2021

STAT 1401 Syllabus Review Fall 2021

STAT 1401 Lecture 28 Regression and Prediction

STAT 1401 Lecture 28 Regression and Prediction

STAT 1401 Lecture 27 Scatterplots and Correlation

STAT 1401 Lecture 27 Scatterplots and Correlation

STAT 1401 Lecture 25 Confidence Intervals for Means

STAT 1401 Lecture 25 Confidence Intervals for Means

STAT 1401 Lecture 26 Hypothesis Testing for a Mean

STAT 1401 Lecture 26 Hypothesis Testing for a Mean

STAT 1401 Lecture 23 Hypothesis Testing for a Proportion

STAT 1401 Lecture 23 Hypothesis Testing for a Proportion

STAT 1401 Lecture 24 The Goodness of Fit Test

STAT 1401 Lecture 24 The Goodness of Fit Test

STAT 1401 Lecture 21 Confidence Intervals for Proportions

STAT 1401 Lecture 21 Confidence Intervals for Proportions

STAT 1401 Lecture 22 Basics of Hypothesis Testing

STAT 1401 Lecture 22 Basics of Hypothesis Testing

STAT 1401 Lecture 19 The CLT for Qualitative Data

STAT 1401 Lecture 19 The CLT for Qualitative Data

STAT 1401 Lecture 20 The CLT for Quantitative Data

STAT 1401 Lecture 20 The CLT for Quantitative Data

STAT 1401 Lab 18 The Central Limit Theorem

STAT 1401 Lab 18 The Central Limit Theorem

STAT 1401 Lecture 17 Normal Random Variables II

STAT 1401 Lecture 17 Normal Random Variables II

STAT 1401 Lecture 15 Binomial Random Variables

STAT 1401 Lecture 15 Binomial Random Variables

STAT 1401 Lecture 16 Normal Random Variables I

STAT 1401 Lecture 16 Normal Random Variables I

STAT 1401 Lecture 13 Two way Tables; Baye's Rule; Simpson's Paradox

STAT 1401 Lecture 13 Two way Tables; Baye's Rule; Simpson's Paradox

STAT 1401 Lecture 14 Basics of Random Variables

STAT 1401 Lecture 14 Basics of Random Variables

STAT 1401 Lecture 12 Independence and Conditional Probabilities

STAT 1401 Lecture 12 Independence and Conditional Probabilities

STAT 1401 Lecture 11 Addition Rules, Venn Diagrams, Complements

STAT 1401 Lecture 11 Addition Rules, Venn Diagrams, Complements

STAT 1401 Lecture 10 Basics of Probability

STAT 1401 Lecture 10 Basics of Probability

STAT 1401 Lecture 9 How to Lie With Statistics

STAT 1401 Lecture 9 How to Lie With Statistics

STAT 1401 Lecture 8 Quantitative Data III Relative Standing

STAT 1401 Lecture 8 Quantitative Data III Relative Standing

STAT 1401 Lecture 6 Quantitative Data I Visualization

STAT 1401 Lecture 6 Quantitative Data I Visualization

STAT 1401 Lecture 7 Quantitative Data II Center and Spread

STAT 1401 Lecture 7 Quantitative Data II Center and Spread

STAT 1401 Lecture 5 Types of Variables, Summarizing Qualitative Variables

STAT 1401 Lecture 5 Types of Variables, Summarizing Qualitative Variables

STAT 1401 Lecture 4 Experiments vs Observation

STAT 1401 Lecture 4 Experiments vs Observation

STAT 1401 Lecture 3 Recognizing and Avoiding Bias

STAT 1401 Lecture 3 Recognizing and Avoiding Bias

STAT 1401 Lecture 2 How to Sample

STAT 1401 Lecture 2 How to Sample

STAT 1401 Lecture 1 Definitions, Populations, Samples

STAT 1401 Lecture 1 Definitions, Populations, Samples

STAT 1401 Syllabus Review

STAT 1401 Syllabus Review

STAT 7432 Video 20 Martingales

STAT 7432 Video 20 Martingales

STAT 7432 Video 19 The Monkey Problem

STAT 7432 Video 19 The Monkey Problem

STAT 7331 Lecture 22 Convergence of Random Variables Part II

STAT 7331 Lecture 22 Convergence of Random Variables Part II

STAT 7331 Lecture 22 Convergence of Random Variables Part I

STAT 7331 Lecture 22 Convergence of Random Variables Part I

STAT 7432 Video 18 Brownian Motion

STAT 7432 Video 18 Brownian Motion

STAT 7331 Lecture 21 Order Statistics

STAT 7331 Lecture 21 Order Statistics

STAT 7432 Video 17 Conditional and Spatial Poisson Processes

STAT 7432 Video 17 Conditional and Spatial Poisson Processes

STAT 7331 Lecture 20 Sampling from the Normal Distribution

STAT 7331 Lecture 20 Sampling from the Normal Distribution

STAT 7331 Lecture 19 Random Samples and Statistics

STAT 7331 Lecture 19 Random Samples and Statistics

STAT 7432 Video 16 Variants of the Poisson Process

STAT 7432 Video 16 Variants of the Poisson Process

STAT 7331 Lecture 18 Spaces of Random Variables

STAT 7331 Lecture 18 Spaces of Random Variables

STAT 7432 Video 16 Poisson Processes and Variants

STAT 7432 Video 16 Poisson Processes and Variants

STAT 7331 Lecture 17 Multivariate Formulas

STAT 7331 Lecture 17 Multivariate Formulas

STAT 7432 Video 15 The Poisson Process

STAT 7432 Video 15 The Poisson Process

STAT 7331 Lecture 16 Covariance and Correlation

STAT 7331 Lecture 16 Covariance and Correlation

STAT 7432 Video 14 Limiting Distributions Part II

STAT 7432 Video 14 Limiting Distributions Part II

STAT 7331 Lecture 15 Hierarchical Models and Mixture Distributions

STAT 7331 Lecture 15 Hierarchical Models and Mixture Distributions

STAT 7432 Video 13 Limiting Distributions Part I

STAT 7432 Video 13 Limiting Distributions Part I

STAT 7331 Lecture 14 Bivariate Transformations

STAT 7331 Lecture 14 Bivariate Transformations

STAT 7432 Video 12 Stationary Distributions Part III

STAT 7432 Video 12 Stationary Distributions Part III

STAT 7331 Lecture 13 Conditional Distributions and Independent Random Variables

STAT 7331 Lecture 13 Conditional Distributions and Independent Random Variables

STAT 7432 Video 11 Stationary Distributions Part II

STAT 7432 Video 11 Stationary Distributions Part II

STAT 7331 Lecture 12 Joint and Marginal Distributions

STAT 7331 Lecture 12 Joint and Marginal Distributions

STAT 7432 Video 10 Stationary Distributions Part I

STAT 7432 Video 10 Stationary Distributions Part I

STAT 7331 Lecture 11 Location/Scale Families; Inequalities

STAT 7331 Lecture 11 Location/Scale Families; Inequalities

STAT 7432 Video 9 Absorption Techniques for Markov Chains

STAT 7432 Video 9 Absorption Techniques for Markov Chains

STAT 7331 Lecture 10 Exponential Families

STAT 7331 Lecture 10 Exponential Families

STAT 7432 Video 8 Branching Processes

STAT 7432 Video 8 Branching Processes

STAT 7432 - Video 7 Random Walk

STAT 7432 - Video 7 Random Walk

STAT 7331 Lecture 8 Distributions: Geometric, Negative Binomial, Uniform, Exponential

STAT 7331 Lecture 8 Distributions: Geometric, Negative Binomial, Uniform, Exponential

STAT 7432 Video 6 Success Run Chain, Random Walk

STAT 7432 Video 6 Success Run Chain, Random Walk

STAT 7331 Lecture 7 Distributions: Discrete Uniform, Hypergeometric, Bernoulli, Binomial, Poisson

STAT 7331 Lecture 7 Distributions: Discrete Uniform, Hypergeometric, Bernoulli, Binomial, Poisson

STAT 7331 - Lecture 6 Moment Generating Functions

STAT 7331 - Lecture 6 Moment Generating Functions

STAT 7432 Video 5 - Convolutions and Probability Generating Functions

STAT 7432 Video 5 - Convolutions and Probability Generating Functions

STAT 7331 Lecture 5 Expected Values, Variance, Moments

STAT 7331 Lecture 5 Expected Values, Variance, Moments

STAT 7331 Lecture 4 Density and Mass Functions; Functions of a Random Variable

STAT 7331 Lecture 4 Density and Mass Functions; Functions of a Random Variable

STAT 7432 Video 4 - Periodicity, Solidarity, Canonical Decomposition

STAT 7432 Video 4 - Periodicity, Solidarity, Canonical Decomposition

STAT 7331 - Lecture 3 Random Variables and Distribution Functions

STAT 7331 - Lecture 3 Random Variables and Distribution Functions

STAT 7432 Video 3 - Communication, Transience, Recurrence

STAT 7432 Video 3 - Communication, Transience, Recurrence

STAT 7331 Lecture 2 Conditional Probability and Independence

STAT 7331 Lecture 2 Conditional Probability and Independence

STAT 7432 Day 2 - Intro to Markov Chains, Communication, Transience, Recurrence

STAT 7432 Day 2 - Intro to Markov Chains, Communication, Transience, Recurrence

STAT 7331 - Lecture 1 Basics of Probability Theory

STAT 7331 - Lecture 1 Basics of Probability Theory

Lecture 14 Principal Components Analysis and Regression

Lecture 14 Principal Components Analysis and Regression

Lecture 13 Clustering

Lecture 13 Clustering

Lecture 12 Variable selection, Ridge and LASSO

Lecture 12 Variable selection, Ridge and LASSO

Lecture 11 Training, Validation, Testing

Lecture 11 Training, Validation, Testing

Lecture 10 Evaluation, Confusion, the ROC curve

Lecture 10 Evaluation, Confusion, the ROC curve