Канал: Zhixin Liu

OSU vs. Tennessee: Predicted Win Probabilities

OSU vs. Tennessee: Predicted Win Probabilities

Two-Way Data Table in Excel for Sensitivity Analysis

Two-Way Data Table in Excel for Sensitivity Analysis

One-Way Data Table in Excel for Sensitivity Analysis

One-Way Data Table in Excel for Sensitivity Analysis

Poll Rates vs. Betting Odds: Unveiling the Dynamics of Prediction Accuracy

Poll Rates vs. Betting Odds: Unveiling the Dynamics of Prediction Accuracy

Simulation Techniques Using @RISK

Simulation Techniques Using @RISK

Simulating Correlations with @RISK

Simulating Correlations with @RISK

The Regression Approach Using Excel

The Regression Approach Using Excel

Constructing a Discrete Distribution from Data Using @RISK

Constructing a Discrete Distribution from Data Using @RISK

Fitting Continuous Theoretical Probability Models with Data Using @RISK

Fitting Continuous Theoretical Probability Models with Data Using @RISK

Fitting Theoretical Probability Models Using Cumulative Probability Data with @RISK

Fitting Theoretical Probability Models Using Cumulative Probability Data with @RISK

Fitting Discrete Theoretical Probability Models with Data Using @RISK

Fitting Discrete Theoretical Probability Models with Data Using @RISK

Constructing a Continuous Distribution from Data Using @RISK

Constructing a Continuous Distribution from Data Using @RISK

Introducing the Binomial Distribution with an Example and @Risk

Introducing the Binomial Distribution with an Example and @Risk

Introducing the Exponential Distribution with an Example and @Risk

Introducing the Exponential Distribution with an Example and @Risk

Introducing the Normal Distribution with an Example and @Risk

Introducing the Normal Distribution with an Example and @Risk

Introducing the Poisson Distribution with an Example and @Risk

Introducing the Poisson Distribution with an Example and @Risk

Introducing the Triangular Distribution with an Example and @Risk

Introducing the Triangular Distribution with an Example and @Risk

Introducing the Beta Distribution with an Example and @Risk

Introducing the Beta Distribution with an Example and @Risk

Using Cumulative Distribution Functions to Fit Given Probabilities

Using Cumulative Distribution Functions to Fit Given Probabilities

Two Way Sensitivity Analysis for Probabilities

Two Way Sensitivity Analysis for Probabilities

Two Way Sensitivity Analysis for House Hunting

Two Way Sensitivity Analysis for House Hunting

One Way Sensitivity Analysis for House Hunting

One Way Sensitivity Analysis for House Hunting

Decisions for Summer Jobs: A Decision Tree Model with a Linked Spreadsheet

Decisions for Summer Jobs: A Decision Tree Model with a Linked Spreadsheet

Decisions for Summer Jobs: A Decision Tree Model

Decisions for Summer Jobs: A Decision Tree Model

Decisions for Summer Jobs: An Introduction

Decisions for Summer Jobs: An Introduction

Decision Tree Analysis of the Texaco-Pennzoil Affair

Decision Tree Analysis of the Texaco-Pennzoil Affair

Using PrecisionTree to Build Influence Diagrams and Decision Trees for Investment Decisions

Using PrecisionTree to Build Influence Diagrams and Decision Trees for Investment Decisions

Building Decision Trees for R&D with PrecisionTree

Building Decision Trees for R&D with PrecisionTree

Autoregressive Modeling

Autoregressive Modeling

Linear Trend Forecasting

Linear Trend Forecasting

Nonlinear and Exponential Trend Forecasting

Nonlinear and Exponential Trend Forecasting

Moving Averages

Moving Averages

Principal of Parsimony

Principal of Parsimony

Measuring Errors

Measuring Errors

Exponential Smoothing

Exponential Smoothing

Time Series Components

Time Series Components

Time Series Data and Plot

Time Series Data and Plot

Common Approaches to Forecasting

Common Approaches to Forecasting

Stepwise Regression

Stepwise Regression

Best Subsets Regression

Best Subsets Regression

Eight Steps Model Building Using Best Subsets Approach

Eight Steps Model Building Using Best Subsets Approach

Collinearity

Collinearity

Using Transformations in Regression Analysis

Using Transformations in Regression Analysis

Nonlinear Relationships

Nonlinear Relationships

Individual Variable Tests of Hypothesis

Individual Variable Tests of Hypothesis

Dummy Variables

Dummy Variables

Interaction Between Independent Variables

Interaction Between Independent Variables

Coefficient of Partial Determination

Coefficient of Partial Determination

Residuals and Assumptions in Multiple Regression

Residuals and Assumptions in Multiple Regression

F Test for Overall Significance

F Test for Overall Significance

Coefficient of Multiple Determination

Coefficient of Multiple Determination

Adjusted Coefficient of Multiple Determination

Adjusted Coefficient of Multiple Determination

Multiple Regression Equation Example

Multiple Regression Equation Example

Multiple Regression Model

Multiple Regression Model

Estimating Mean Values and Predicting Individual Values

Estimating Mean Values and Predicting Individual Values

F Test for the Slope

F Test for the Slope

Inferences of Slope with t test

Inferences of Slope with t test

Measuring Autocorrelation Durbin Watson Statistic

Measuring Autocorrelation Durbin Watson Statistic

Assumptions of Regression

Assumptions of Regression

Standard Error of Estimate

Standard Error of Estimate

Coefficient of Determination

Coefficient of Determination

Measures of Variation in Regression

Measures of Variation in Regression

Simple Linear Regression Example

Simple Linear Regression Example

The Least Squares Method

The Least Squares Method

Simple Linear Regression Model

Simple Linear Regression Model

Introduction to Regression Analysis

Introduction to Regression Analysis

Levene Homogeneity of Variance Test

Levene Homogeneity of Variance Test

ANOVA Assumptions

ANOVA Assumptions

Tukey Kramer Procedure

Tukey Kramer Procedure

Two Way ANOVA

Two Way ANOVA

Tukey Procedure for Multiple Comparisons

Tukey Procedure for Multiple Comparisons

Two Way ANOVA Example

Two Way ANOVA Example

Hypotheses in One Way Analysis of Variance

Hypotheses in One Way Analysis of Variance

One Way ANOVA Example

One Way ANOVA Example

Test Statistic in One Way ANOVA

Test Statistic in One Way ANOVA

Partitioning Variation in One Way ANOVA

Partitioning Variation in One Way ANOVA

Analysis of Variance Setting

Analysis of Variance Setting

p value

p value

One Tail Tests

One Tail Tests

Hypothesis Testing for Mean with Sigma Unknown

Hypothesis Testing for Mean with Sigma Unknown

Hypothesis Testing for Mean with Sigma Known

Hypothesis Testing for Mean with Sigma Known

Level of Significance

Level of Significance

Errors in Decision Making

Errors in Decision Making

Test Statistic and Critical Values

Test Statistic and Critical Values

Hypothesis Testing Process

Hypothesis Testing Process

Hypothesis

Hypothesis

Z Test of Hypothesis for the Proportions

Z Test of Hypothesis for the Proportions

Determining Sample Size for Estimating Mean with Sigma Unknown

Determining Sample Size for Estimating Mean with Sigma Unknown

Determining Sample Size for Estimating Proportion

Determining Sample Size for Estimating Proportion

Determining Sample Size for Estimating Mean with Sigma Known

Determining Sample Size for Estimating Mean with Sigma Known

Confidence Interval for Proportion

Confidence Interval for Proportion

Confidence Interval for Mean with Sigma Unknown

Confidence Interval for Mean with Sigma Unknown

Student’s t Distribution

Student’s t Distribution

Confidence Interval for Mean with Sigma Known

Confidence Interval for Mean with Sigma Known

Z Critical Value

Z Critical Value

Confidence Level

Confidence Level

Definition of Confidence Interval Estimate

Definition of Confidence Interval Estimate

Sampling Distribution of Proportion Example

Sampling Distribution of Proportion Example

Sampling Distribution of Proportion

Sampling Distribution of Proportion

Central Limit Theorem: Application

Central Limit Theorem: Application

Central Limit Theorem

Central Limit Theorem

Sampling Distribution of Mean: Standard Error

Sampling Distribution of Mean: Standard Error

Sampling Distribution: Sample Mean Example

Sampling Distribution: Sample Mean Example

Definition of Sampling Distribution

Definition of Sampling Distribution

Definitions of Random Variables

Definitions of Random Variables

Introduction to Discrete Random Variables

Introduction to Discrete Random Variables

Measures of Discrete Random Variables

Measures of Discrete Random Variables

Introduction to Binomial Distribution

Introduction to Binomial Distribution

Assessing Normality

Assessing Normality

Binomial Distribution Characteristics

Binomial Distribution Characteristics

Introduction to Poisson Distribution

Introduction to Poisson Distribution

Introduction to Continuous Random Variables

Introduction to Continuous Random Variables

Uniform Distribution

Uniform Distribution

Exponential Distribution

Exponential Distribution

Introduction to Normal Distribution

Introduction to Normal Distribution

Standardized Normal Distribution

Standardized Normal Distribution

Finding Normal Probability

Finding Normal Probability

Finding Value for Given Normal Probability

Finding Value for Given Normal Probability

Normal Probability Plot

Normal Probability Plot

Poisson Distribution Characteristics

Poisson Distribution Characteristics

Measures of Central Tendency Mode

Measures of Central Tendency Mode

Measures of Central Tendency Geometric Mean

Measures of Central Tendency Geometric Mean

Measures of Variation

Measures of Variation

Locating Extreme Outliers with Z Score

Locating Extreme Outliers with Z Score

Shape of the Distribution of Data Set

Shape of the Distribution of Data Set

Quartile Measures

Quartile Measures

Numerical Descriptive Measures for a Population

Numerical Descriptive Measures for a Population

The Empirical Rule and Its Application

The Empirical Rule and Its Application

The Chebyshev Rule

The Chebyshev Rule

Covariance and Correlation Coefficient

Covariance and Correlation Coefficient

Basic Probability Concepts

Basic Probability Concepts

Assessment of Probability

Assessment of Probability

Visualizing Events of a Sample Space

Visualizing Events of a Sample Space

Simple and Joint Probabilities

Simple and Joint Probabilities

Computing Joint and Marginal Probabilities

Computing Joint and Marginal Probabilities

General Addition Rule

General Addition Rule

Conditional Probability

Conditional Probability

Independence and Multiplication Rule

Independence and Multiplication Rule

Bayes Theorem

Bayes Theorem

Measures of Central Tendency Mean and Median

Measures of Central Tendency Mean and Median

Histogram for Numerical Data

Histogram for Numerical Data

Scatter Plot for Two Numerical Variables

Scatter Plot for Two Numerical Variables

Pivot Tables for Multidimensional Data

Pivot Tables for Multidimensional Data

Contingency Table for Two Categorical Variables

Contingency Table for Two Categorical Variables

Frequency Distribution for Numerical Data

Frequency Distribution for Numerical Data

Bar Chart for One Categorical Variable

Bar Chart for One Categorical Variable

Pie Chart for One Categorical Variable

Pie Chart for One Categorical Variable

Summary Table for One Categorical Variable

Summary Table for One Categorical Variable

Survey Errors

Survey Errors

Cluster Sampling

Cluster Sampling

Systematic Sampling

Systematic Sampling

Stratified Sampling

Stratified Sampling

Simple Random Sampling

Simple Random Sampling

Nonprobability Sample

Nonprobability Sample

Sampling Frame

Sampling Frame

Sources of Data

Sources of Data

Levels of Measurement

Levels of Measurement

Types of Variables

Types of Variables

Branches of Statistics

Branches of Statistics

Basic Vocabulary of Statistics

Basic Vocabulary of Statistics

Number bond: 5 numbers in a cross with same sum each line

Number bond: 5 numbers in a cross with same sum each line

Number bond: 9 numbers in a 3 by 3 table with same sum each line

Number bond: 9 numbers in a 3 by 3 table with same sum each line

Chickens and rabbits in a cage: hypothetical-deductive method

Chickens and rabbits in a cage: hypothetical-deductive method

Replacing minus with plus in calculation

Replacing minus with plus in calculation

How many pencils 3 cents each can 1 dollar buy

How many pencils 3 cents each can 1 dollar buy

How many ways to get 30 cents with coins?

How many ways to get 30 cents with coins?