Канал: Prof Kazeem Adepoju

Introduction to Statistical Analysis

Introduction to Statistical Analysis

Day 3: Academic Dishonesty

Day 3: Academic Dishonesty

Model Selection in Time Series

Model Selection in Time Series

Final Exam Practice Discrete Probability Function

Final Exam Practice Discrete Probability Function

Final Exam Practice Multivariate Normal

Final Exam Practice Multivariate Normal

Final Exam Practice MGF Part 2

Final Exam Practice MGF Part 2

Final Practice MGF Part 1

Final Practice MGF Part 1

Method of Transformation Part 3

Method of Transformation Part 3

Method of Transformation Part 2

Method of Transformation Part 2

Method of Transformation Part 1

Method of Transformation Part 1

Further Examples on Function of Random variables

Further Examples on Function of Random variables

Time Series: AR(1) Models

Time Series: AR(1) Models

Introduction to Time Series

Introduction to Time Series

Function of Random variables Part 4

Function of Random variables Part 4

Function of Random Variables Part 3

Function of Random Variables Part 3

Function of Random Variables Part 2

Function of Random Variables Part 2

Function of Random Variables Part 1

Function of Random Variables Part 1

Multivariate Joint Distributions Part 3

Multivariate Joint Distributions Part 3

Multivariate Joint Distributions Part 2

Multivariate Joint Distributions Part 2

Multivariate Joint Probability Distributions Part 1

Multivariate Joint Probability Distributions Part 1

Conditional Distribution of Y given X

Conditional Distribution of Y given X

Multinomial Logistic Regression for unordered Categorical Response

Multinomial Logistic Regression for unordered Categorical Response

Poisson regression for Count Data

Poisson regression for Count Data

Ordinal logistic as a variant of Logistic Regression

Ordinal logistic as a variant of Logistic Regression

Expectation of jointly distributed variable Part 2

Expectation of jointly distributed variable Part 2

Expected Value of jointly distributed random variable

Expected Value of jointly distributed random variable

Further Joint Probability function video link

Further Joint Probability function video link

Beta Regression as a Variant of Logistic Regression

Beta Regression as a Variant of Logistic Regression

Joint Probability Density Function

Joint Probability Density Function

Jointly Distributed Discrete Random Variables

Jointly Distributed Discrete Random Variables

Deriving the Variance of Beta Distribution

Deriving the Variance of Beta Distribution

Variable Selection in Regression Model

Variable Selection in Regression Model

Beta Distribution and its Properties

Beta Distribution and its Properties

Beta Function and its Properties

Beta Function and its Properties

Regression with Categorical Response Variable

Regression with Categorical Response Variable

Memoryless Property of Exponential Distribution

Memoryless Property of Exponential Distribution

MGF of Gamma Distribution

MGF of Gamma Distribution

Gamma Function

Gamma Function

Exponential Distribution in overview

Exponential Distribution in overview

Complex Regression:Dealing with non linear effects in MLR

Complex Regression:Dealing with non linear effects in MLR

Moment Generating function of Normal Density

Moment Generating function of Normal Density

Properties of Normal Density Part 2

Properties of Normal Density Part 2

Properties of Normal density function

Properties of Normal density function

History of Normal Distribution

History of Normal Distribution

Properties of Continous Uniform Distribution

Properties of Continous Uniform Distribution

Continuous Probability Distribution Part 2

Continuous Probability Distribution Part 2

Probability distribution of Continous random Variables Part 1

Probability distribution of Continous random Variables Part 1

PGF Part 2

PGF Part 2

PGF Part1

PGF Part1

F Test vs Partial F test in regression modeling

F Test vs Partial F test in regression modeling

MGF of Bernoulli and Binomial Distributions

MGF of Bernoulli and Binomial Distributions

MGF of Linear combination of random variables

MGF of Linear combination of random variables

MGF Part 2

MGF Part 2

Introduction to Moment generating function Part 1

Introduction to Moment generating function Part 1

Regression with both categorical and quantitative Predictors

Regression with both categorical and quantitative Predictors

Standardized Moments Part 2

Standardized Moments Part 2

Standardized moments

Standardized moments

Central Moments

Central Moments

Raw Moments

Raw Moments

Poisson distribution Part2

Poisson distribution Part2

Properties of Poisson Distribution Part 1

Properties of Poisson Distribution Part 1

Resolving issues in Regression Model via Transformation

Resolving issues in Regression Model via Transformation

Discrete Uniform Distribution

Discrete Uniform Distribution

Variance of Negative Binomial Distribution

Variance of Negative Binomial Distribution

Mean of Negative Binomial Distribution

Mean of Negative Binomial Distribution

Decomposing the total variation in the response variable

Decomposing the total variation in the response variable

Proof to show Negative Binomial a valid PMF

Proof to show Negative Binomial a valid PMF

Model Diagnostics more art than science

Model Diagnostics more art than science

Variance of Geometric Distribution

Variance of Geometric Distribution

Derivation of mean of Geometric Distribution

Derivation of mean of Geometric Distribution

Derivations of Variance of Binomial Distrbutions

Derivations of Variance of Binomial Distrbutions

Derivation of Mean of Binomial Distribution

Derivation of Mean of Binomial Distribution

Properties of Bernoulli Distribution

Properties of Bernoulli Distribution

Diagnostics in Linear Regression

Diagnostics in Linear Regression

Probability Application in System Reliability Part 1

Probability Application in System Reliability Part 1

Proof of De-Morgan’s Theorem

Proof of De-Morgan’s Theorem

Conditional Probability and Bayes rule Part 5

Conditional Probability and Bayes rule Part 5

Conditional Probability and Bayes rule Part 4

Conditional Probability and Bayes rule Part 4

Conditional Probability and Bayes Theorem Part 3

Conditional Probability and Bayes Theorem Part 3

Conditional Probability and Bayes rule Part 2

Conditional Probability and Bayes rule Part 2

Conditional Probability and Bayes Theorem Part 1

Conditional Probability and Bayes Theorem Part 1

STAT 5101 LAB 1 Part 1

STAT 5101 LAB 1 Part 1

Linear Regression Assumptions

Linear Regression Assumptions

Population regression vs Fitted Regression Models

Population regression vs Fitted Regression Models

One and two Sample hypothesis Testing For Mean

One and two Sample hypothesis Testing For Mean

Hypothesis Testing based on Proportion(s)

Hypothesis Testing based on Proportion(s)

Bayesian confidence interval & Bayesian Test of Hypothesis with Normal Posterior

Bayesian confidence interval & Bayesian Test of Hypothesis with Normal Posterior

Bayes Estimator

Bayes Estimator

Introduction to Bayesian Inference

Introduction to Bayesian Inference

One- Two Sample Estimation Final

One- Two Sample Estimation Final

Properties of Least Estimator in Matrix Form

Properties of Least Estimator in Matrix Form

Some Practical Examples of Non Linear Models

Some Practical Examples of Non Linear Models

One Sample Estimation Problem Based on Mean

One Sample Estimation Problem Based on Mean

Fitting Linear model with Matrices Part 2

Fitting Linear model with Matrices Part 2

Sampling with t Distribution

Sampling with t Distribution

Fitting Linear Model Using Matrices

Fitting Linear Model Using Matrices

Consistency of Least Square Estimators

Consistency of Least Square Estimators

Method of Least Square for parameter estimation in Linear Model

Method of Least Square for parameter estimation in Linear Model

Statistical Linear Models

Statistical Linear Models

Neyman Pearson Lemma for most Powerful test

Neyman Pearson Lemma for most Powerful test

Sampling distributions of Means for one population

Sampling distributions of Means for one population

Statistical Linear Regression vs Machine Learning Linear Algorithm

Statistical Linear Regression vs Machine Learning Linear Algorithm

Statistical Logistic regression vs Machine learning logistic regression

Statistical Logistic regression vs Machine learning logistic regression

Statistical logistic regression vs Machine Learning logistic regression

Statistical logistic regression vs Machine Learning logistic regression

P Value in Decision Making

P Value in Decision Making

Why is MLE Preferred to MOM?

Why is MLE Preferred to MOM?

Probability of Type 2 Error in Hypothesis Testing

Probability of Type 2 Error in Hypothesis Testing

Hypothesis Testing in Statistical Theory

Hypothesis Testing in Statistical Theory

TikTok of Fisher- Neyman Factorization

TikTok of Fisher- Neyman Factorization

Method of Maximum Likelihood Estimation

Method of Maximum Likelihood Estimation

The Cramer-Rao Lower Bound and its Significance

The Cramer-Rao Lower Bound and its Significance

The Fisher Information in Statistical Theory

The Fisher Information in Statistical Theory

The Score Function in Statistical Theory

The Score Function in Statistical Theory

Multi-parameter Exponential Family of Distributions

Multi-parameter Exponential Family of Distributions

Assumptions of Linear Mixed Effect Models for repeated measures

Assumptions of Linear Mixed Effect Models for repeated measures

Permutations in Cycles

Permutations in Cycles

Exponential Family of Distributions Part 1

Exponential Family of Distributions Part 1

Rao- Blackwell Estimator/ UMVUE

Rao- Blackwell Estimator/ UMVUE

Bernoulli, Binomial and Multinomial Distributions

Bernoulli, Binomial and Multinomial Distributions

Consistency Property of An Estimator

Consistency Property of An Estimator

Statistical consulting:Mixed Effects Models

Statistical consulting:Mixed Effects Models

Statistical Consulting with Repeated Measures

Statistical Consulting with Repeated Measures

Statistics of Love;Happy Valentine day

Statistics of Love;Happy Valentine day

Expectation of Random Variables

Expectation of Random Variables

Large Sample Confidence Interval of Common Point Estimators

Large Sample Confidence Interval of Common Point Estimators

Interval Estimator in Statistical Theory

Interval Estimator in Statistical Theory

Biased vs Unbiased Point Estimators

Biased vs Unbiased Point Estimators

Snapchat of Statistical Consulting

Snapchat of Statistical Consulting

Worked Examples on Central Limit Theorem

Worked Examples on Central Limit Theorem

TikTok of Central Limit Theorem

TikTok of Central Limit Theorem

Application of Bayesian Networks Part 2

Application of Bayesian Networks Part 2

Application of Bayesian Networks Part 1

Application of Bayesian Networks Part 1

Statistical Consulting/ Collaboration

Statistical Consulting/ Collaboration

Sampling Related to Normal

Sampling Related to Normal

Exploring Practical Applications of LLN

Exploring Practical Applications of LLN

Applications of Law of Large Numbers

Applications of Law of Large Numbers

Measure of Association in Observational Studies

Measure of Association in Observational Studies

Random Sample and Statistic

Random Sample and Statistic

Research Design: Observational Studies

Research Design: Observational Studies

Further Topics in Probability

Further Topics in Probability

Communication and Consultation in Statistics

Communication and Consultation in Statistics

Probability in everyday Life

Probability in everyday Life

Tableau Visualization with Simbiat Adepoju

Tableau Visualization with Simbiat Adepoju

Bar Plot With Tableau by Azeezat Adepoju

Bar Plot With Tableau by Azeezat Adepoju

Bar Graph with Tableau by Wendy Adepoju

Bar Graph with Tableau by Wendy Adepoju

Creating Maps With Tableau

Creating Maps With Tableau

STAT 4102 Final Revision

STAT 4102 Final Revision

STAT 3021 Final Revision

STAT 3021 Final Revision

STAT 3021 Final Preview Part 1

STAT 3021 Final Preview Part 1

STAT 4102 Final Exam Preview Part 1

STAT 4102 Final Exam Preview Part 1

Inference on Parameters of Linear Models

Inference on Parameters of Linear Models

My remarks at electrical engineering department

My remarks at electrical engineering department

Two-Sample Hypothesis Test for independent populations

Two-Sample Hypothesis Test for independent populations

Fitting Linear Model Using Matrices

Fitting Linear Model Using Matrices

Non Linear Models

Non Linear Models

One-Sample Hypothesis Testing for Proportion

One-Sample Hypothesis Testing for Proportion

Consistency of Least Square Estimators

Consistency of Least Square Estimators

Data Science workshop on Socioeconomic Inequality

Data Science workshop on Socioeconomic Inequality

One Sample Hypothesis Test For Mean

One Sample Hypothesis Test For Mean

Properties of Least Square Estimators

Properties of Least Square Estimators

Division of Polynomial with Sythentic Method

Division of Polynomial with Sythentic Method

Method of Least Squares Estimates

Method of Least Squares Estimates

One and two Sample Estimation Problem Part 3

One and two Sample Estimation Problem Part 3

Introduction to Linear Models

Introduction to Linear Models

One and Two Sample Estimation Problem Part 2

One and Two Sample Estimation Problem Part 2

STAT 3021 MIDTERM 2 PREVIEWS PART 2

STAT 3021 MIDTERM 2 PREVIEWS PART 2

STAT 3021 Midterm 2 Preview

STAT 3021 Midterm 2 Preview

One Sample Estimation Problem Part 1

One Sample Estimation Problem Part 1

The Most Powerful Test & Likelihood Ratio Test

The Most Powerful Test & Likelihood Ratio Test

P-Value in Statistical Decision Making

P-Value in Statistical Decision Making

Relationship between Hypothesis testing and Confidence Interval

Relationship between Hypothesis testing and Confidence Interval

Probability of Type 2 error For Z test

Probability of Type 2 error For Z test

Fundamental Sampling Distributions and Data Descriptions

Fundamental Sampling Distributions and Data Descriptions

Large-Small Sample tests

Large-Small Sample tests

Hypothesis Testing in Statistical Theory

Hypothesis Testing in Statistical Theory

Continuous Probability Distributions Beyond Normal Distribution

Continuous Probability Distributions Beyond Normal Distribution

MLE Vs Method of Moment Estimators

MLE Vs Method of Moment Estimators

The Rao-Blackwell Theorem & UMVUE

The Rao-Blackwell Theorem & UMVUE

TikTok of Discrete Probability Distributions

TikTok of Discrete Probability Distributions

Sufficient Statistic-Fisher-Neyman Factorization

Sufficient Statistic-Fisher-Neyman Factorization

Learning Python,R, SAS, STATA Codes With CHATGPT

Learning Python,R, SAS, STATA Codes With CHATGPT

Consistency of a Point Estimator Part 2

Consistency of a Point Estimator Part 2

Consistency of Point Estimators Part 1

Consistency of Point Estimators Part 1

Efficiency of Point Estimators

Efficiency of Point Estimators

Midterm 1 Solutions

Midterm 1 Solutions

Small Sample Confidence Interval

Small Sample Confidence Interval

Simplifying very complicated real world

Simplifying very complicated real world

Sample Size Determination

Sample Size Determination

Large Sample Confidence Interval

Large Sample Confidence Interval

Interval Estimator

Interval Estimator

Goodness of an Estimator

Goodness of an Estimator

Some Common Unbiased Estimators

Some Common Unbiased Estimators

Bias and Mean Square Error

Bias and Mean Square Error

Normal Approximation to Binomial Distribution

Normal Approximation to Binomial Distribution

Application of Central Limit Theorem

Application of Central Limit Theorem

Statistical Theory :WLLN vs SLLN vs CLT

Statistical Theory :WLLN vs SLLN vs CLT

Introduction to Random Variables

Introduction to Random Variables

Sampling related to Normal: Chebyshev vs Empirical rules

Sampling related to Normal: Chebyshev vs Empirical rules

Probability Application in System Reliability

Probability Application in System Reliability

Real life Applications of Bayes Rule

Real life Applications of Bayes Rule