Канал: Brian Powers

STP420 Lab 04

STP420 Lab 04

STP420 Population Tutorial Part 2

STP420 Population Tutorial Part 2

STP420 Population Tutorial Part 1

STP420 Population Tutorial Part 1

STP420 Lab 07

STP420 Lab 07

STP420 Lab 06

STP420 Lab 06

STP420 Lab 05

STP420 Lab 05

MAT240 - Project 2

MAT240 - Project 2

MAT240 - Module 5 Assignment

MAT240 - Module 5 Assignment

MAT240 - Project One

MAT240 - Project One

MAT240 - Module 3 Assignment

MAT240 - Module 3 Assignment

MAT240 - Module 2 Assignment

MAT240 - Module 2 Assignment

MAT240 - Real Estate Data - Random Sample from StatPowers.com

MAT240 - Real Estate Data - Random Sample from StatPowers.com

1 Sample Confidence Interval for the Mean in Google Sheets

1 Sample Confidence Interval for the Mean in Google Sheets

Simple Linear Regression in Google Sheets

Simple Linear Regression in Google Sheets

Creating a Scatter Plot in Google Sheets

Creating a Scatter Plot in Google Sheets

Correlation and the Coefficient of Determination in Google Sheets

Correlation and the Coefficient of Determination in Google Sheets

Finding the Linear Regression Equation in Google Sheets

Finding the Linear Regression Equation in Google Sheets

One Sample T Test in Google Sheets

One Sample T Test in Google Sheets

Plotting a Trend Line in a Scatter Plot in Google Sheets

Plotting a Trend Line in a Scatter Plot in Google Sheets

Creating a Histogram in Google Sheets

Creating a Histogram in Google Sheets

Calculating Sample Statistics in Google Sheets

Calculating Sample Statistics in Google Sheets

statpowers - nonparametric tests

statpowers - nonparametric tests

MAT240 Module 7 Project Two

MAT240 Module 7 Project Two

MAT240 Module 5 Challenge Activities

MAT240 Module 5 Challenge Activities

MAT240 Module 4 Challenge Activities

MAT240 Module 4 Challenge Activities

MAT240 Module 3 Challenge Activities

MAT240 Module 3 Challenge Activities

MAT240 Module 2 Challenge Activities

MAT240 Module 2 Challenge Activities

MAT240 Module 1 Challenge Activities

MAT240 Module 1 Challenge Activities

MAT240 Module 8 Challenge Activities

MAT240 Module 8 Challenge Activities

MAT240 Module 7 challenge activities

MAT240 Module 7 challenge activities

MAT240 - Module 6 Challenge Activities

MAT240 - Module 6 Challenge Activities

MAT 240 Module 5 Assignment

MAT 240 Module 5 Assignment

StatPowers: Stratified Sampling and Quick Analysis

StatPowers: Stratified Sampling and Quick Analysis

MAT240 Module 4 - Project One

MAT240 Module 4 - Project One

MAT240 Module 4: Normal and T Probabilities in Excel

MAT240 Module 4: Normal and T Probabilities in Excel

Statpowers Population Simulator - A Simple Linear Model

Statpowers Population Simulator - A Simple Linear Model

MAT 240 Module 3 Linear Regression

MAT 240 Module 3 Linear Regression

SLOPE and INTERCEPT functions in EXCEL

SLOPE and INTERCEPT functions in EXCEL

StatPowers - Population Simulation Dependent Variables

StatPowers - Population Simulation Dependent Variables

MAT240 Module 2

MAT240 Module 2

MAT240 - Module 2 Assignment

MAT240 - Module 2 Assignment

ABS350 Chapter 8

ABS350 Chapter 8

MAT265 The Substitution Rule

MAT265 The Substitution Rule

MAT265 Fundamental Theorem of Calculus

MAT265 Fundamental Theorem of Calculus

MAT267 Surface Integrals

MAT267 Surface Integrals

MAT267 Parametric Surfaces

MAT267 Parametric Surfaces

MAT267 Curl and Divergence

MAT267 Curl and Divergence

MAT265 Evaluating Definite Integrals

MAT265 Evaluating Definite Integrals

MAT267 Green's Theorem

MAT267 Green's Theorem

MAT267 Fundamental Theorem of Line Integrals

MAT267 Fundamental Theorem of Line Integrals

ABS350 Chapter 7- Multiple Linear Regression

ABS350 Chapter 7- Multiple Linear Regression

MAT267 Line Integrals

MAT267 Line Integrals

MAT267 Vector Fields

MAT267 Vector Fields

MAT265 Definite Integrals

MAT265 Definite Integrals

MAT265 Areas and Distances

MAT265 Areas and Distances

MAT267 Triple Integrals in Spherical Coordinates

MAT267 Triple Integrals in Spherical Coordinates

MAT265 Curve Sketching

MAT265 Curve Sketching

MAT265 Optimization Problems

MAT265 Optimization Problems

ABS350 Chapter 6

ABS350 Chapter 6

MAT267 Triple Integrals in Cylindrical Coordinates

MAT267 Triple Integrals in Cylindrical Coordinates

MAT267 Triple Integrals

MAT267 Triple Integrals

MAT265 Derivatives and the Shapes of Graphs

MAT265 Derivatives and the Shapes of Graphs

MAT265 The Mean Value Theorem

MAT265 The Mean Value Theorem

MAT267 Double Integrals in Polar Coordinates

MAT267 Double Integrals in Polar Coordinates

MAT267 Double Integrals over General Regions

MAT267 Double Integrals over General Regions

MAT265 Maximums and Minimum Values of Functions

MAT265 Maximums and Minimum Values of Functions

MAT265 - L'Hospital's Rule

MAT265 - L'Hospital's Rule

StatPowers: Population Generator Basics

StatPowers: Population Generator Basics

ABS350 Chapter 5

ABS350 Chapter 5

MAT267 12.1 Double Integrals over Rectangles

MAT267 12.1 Double Integrals over Rectangles

MAT265 3.5 Derivatives of Inverse Trigonometric Functions

MAT265 3.5 Derivatives of Inverse Trigonometric Functions

MAT267 11.8 Lagrange Multipliers

MAT267 11.8 Lagrange Multipliers

MAT267 11.7 Maximums and Minimum Values of f(x,y)

MAT267 11.7 Maximums and Minimum Values of f(x,y)

MAT265 3.3 Derivatives of Exponential and Logarithmic Functions

MAT265 3.3 Derivatives of Exponential and Logarithmic Functions

MAT265 3.1 Exponential Functions

MAT265 3.1 Exponential Functions

MAT265 3.2 Inverse Functions and Logarithms

MAT265 3.2 Inverse Functions and Logarithms

MAT267 11.6 Directional Derivatives and the Gradient Vector

MAT267 11.6 Directional Derivatives and the Gradient Vector

MAT267 11.5 The (Multivariable) Chain Rule

MAT267 11.5 The (Multivariable) Chain Rule

ABS350 Chapter 4

ABS350 Chapter 4

StatPowers - the Pixel Normal Distribution

StatPowers - the Pixel Normal Distribution

MAT267 10.8 Arc Length and Curvature (revised)

MAT267 10.8 Arc Length and Curvature (revised)

MAT267 11.4 Tangent Planes & Differentials

MAT267 11.4 Tangent Planes & Differentials

MAT265 2.8 Linear Approximation and Differentials

MAT265 2.8 Linear Approximation and Differentials

MAT265 2.7 Related Rates

MAT265 2.7 Related Rates

MAT267 Section 11.3 Partial Derivatives

MAT267 Section 11.3 Partial Derivatives

MAT267 Section 11.2 - Continuity

MAT267 Section 11.2 - Continuity

MAT267 Sec. 11.1 - Functions of Several Variables

MAT267 Sec. 11.1 - Functions of Several Variables

MAT265 Section 2.6 Implicit Differentiation

MAT265 Section 2.6 Implicit Differentiation

MAT265 Sec 2.5 The Chain Rule

MAT265 Sec 2.5 The Chain Rule

ABS350 Chapter 3 - Random Variables and Probability Distributions

ABS350 Chapter 3 - Random Variables and Probability Distributions

MAT267 Section 10.9 - Motion in 3D Space (Velocity & Acceleration)

MAT267 Section 10.9 - Motion in 3D Space (Velocity & Acceleration)

MAT 265 Sec 4.2 The Product & Quotient Rules

MAT 265 Sec 4.2 The Product & Quotient Rules

MAT267 10.8 Arc Length and Curvature

MAT267 10.8 Arc Length and Curvature

MAT267 10.7 Vector Functions and Space Curves

MAT267 10.7 Vector Functions and Space Curves

MAT267 10.6 - Cylinders and Quadratic Surfaces

MAT267 10.6 - Cylinders and Quadratic Surfaces

MAT265 2.3 Basic Differentiation Formulas

MAT265 2.3 Basic Differentiation Formulas

MAT265 2.2 The Derivative as a Function

MAT265 2.2 The Derivative as a Function

ASU MAT265 - Section 1.6 Limits involving Infinity

ASU MAT265 - Section 1.6 Limits involving Infinity

ASU ABS350 : Chapter 2 (Probability)

ASU ABS350 : Chapter 2 (Probability)

ASU - MAT265 Section 2.1: Derivatives and Rates of Change

ASU - MAT265 Section 2.1: Derivatives and Rates of Change

StatPowers - Empirical Rule Calculator

StatPowers - Empirical Rule Calculator

MAT267 Section 10.5 Lines and Planes

MAT267 Section 10.5 Lines and Planes

Exploring Data With R

Exploring Data With R

Introduction to R

Introduction to R

MAT265 Section 1.5 Continuity

MAT265 Section 1.5 Continuity

MAT265 Section .1.4 Calculating Limits

MAT265 Section .1.4 Calculating Limits

MAT 267 - Section 10.4 The Cross Product

MAT 267 - Section 10.4 The Cross Product

MAT267 Section 10.3 The Dot Product

MAT267 Section 10.3 The Dot Product

MAT267 Section 10.2 Vectors

MAT267 Section 10.2 Vectors

MAT267 Section 10.1 The 3D Coordinate System

MAT267 Section 10.1 The 3D Coordinate System

MAT265: Section 1-3 Limits

MAT265: Section 1-3 Limits

StatCrunch Frequency Table to Relative Frequency Table

StatCrunch Frequency Table to Relative Frequency Table

StatPowers Survival Analysis

StatPowers Survival Analysis

SNHU MAT240 Practice Final 22 28

SNHU MAT240 Practice Final 22 28

StatPowers Time Series

StatPowers Time Series

StatPowers ContingencyTable to Logistic Model

StatPowers ContingencyTable to Logistic Model

StatPowers Logistic Regression

StatPowers Logistic Regression

StatPowers Multiple Regression

StatPowers Multiple Regression

StatPowers Correlation and SLR

StatPowers Correlation and SLR

StatPowers 2 Sample T Test and 1 factor ANOVA

StatPowers 2 Sample T Test and 1 factor ANOVA

StatPowers: 1 sample T test

StatPowers: 1 sample T test

StatPowers Qualitative Variables - Test for Independence and Goodness of Fit TEst

StatPowers Qualitative Variables - Test for Independence and Goodness of Fit TEst

1 and 2 Sample Proportion Inference StatPowers

1 and 2 Sample Proportion Inference StatPowers

Use StatPowers to calculate Expected Value of a Roulette Game

Use StatPowers to calculate Expected Value of a Roulette Game

Calculate Expected Value of a Game of Chance

Calculate Expected Value of a Game of Chance

Bayes' Theorem and Probability Trees using StatPowers

Bayes' Theorem and Probability Trees using StatPowers

The Problem with Interquartile Range

The Problem with Interquartile Range

StatPowers paired Qualitative Descriptive Statistics

StatPowers paired Qualitative Descriptive Statistics

StatPowers Brief Introduction

StatPowers Brief Introduction

StatPowers Quantitative 1 Sample Descriptive Statistics

StatPowers Quantitative 1 Sample Descriptive Statistics

StatPowers Qualitative Descriptive Statistics

StatPowers Qualitative Descriptive Statistics

Stratford MAT 211 Module 8: Hypothesis Testing

Stratford MAT 211 Module 8: Hypothesis Testing

Stratford MAT 211 Module 7: Confidence Intervals

Stratford MAT 211 Module 7: Confidence Intervals

Stratford MAT 211 Module 6: The Central Limit Theorem

Stratford MAT 211 Module 6: The Central Limit Theorem

Stratford MAT 211 Module 5: The Gaussian (Normal) Distribution

Stratford MAT 211 Module 5: The Gaussian (Normal) Distribution

Stratford MAT 211 Module 4: Continuous Random Variables

Stratford MAT 211 Module 4: Continuous Random Variables

Stratford MAT 211 Module 3: Discrete Random Variables

Stratford MAT 211 Module 3: Discrete Random Variables

StatPowers Sampling Distributions

StatPowers Sampling Distributions

StatPowers: Gaussian (Normal) Distribution calculator

StatPowers: Gaussian (Normal) Distribution calculator

StatPowers.com: Discrete Distribution Calculator

StatPowers.com: Discrete Distribution Calculator

StatPowers: Custom Discrete Distribution

StatPowers: Custom Discrete Distribution

Stratford 211 Module 3

Stratford 211 Module 3

Stratford MAT 211 Module 2: Classical Probability

Stratford MAT 211 Module 2: Classical Probability

Stratford MAT 211 Module 1: Sampling and Descriptive Statistics

Stratford MAT 211 Module 1: Sampling and Descriptive Statistics

Normality in StatPowers

Normality in StatPowers

MyStatLab - Sampling Distribution of the Sample Mean

MyStatLab - Sampling Distribution of the Sample Mean

StatPowers: 1 Sample Descriptive Statistics

StatPowers: 1 Sample Descriptive Statistics

MyStatLab - Sampling Distribution of the Sample Mean

MyStatLab - Sampling Distribution of the Sample Mean

MyStatLab - Sampling Distribution of the Sample Mean

MyStatLab - Sampling Distribution of the Sample Mean

MyStatLab - Sampling Distribution of the Sample Proportion

MyStatLab - Sampling Distribution of the Sample Proportion

2018 SNHU MAT-240 Practice Final Exam 22-28 (4 of 4)

2018 SNHU MAT-240 Practice Final Exam 22-28 (4 of 4)

2018 SNHU MAT-240 Practice Final Exam 1-7 (1 of 4)

2018 SNHU MAT-240 Practice Final Exam 1-7 (1 of 4)

2018 SNHU MAT-240 Practice Final Exam 8-14 (2 of 4)

2018 SNHU MAT-240 Practice Final Exam 8-14 (2 of 4)

2018 SNHU MAT-240 Practice Final Exam 15-21 (3 of 4)

2018 SNHU MAT-240 Practice Final Exam 15-21 (3 of 4)

Simple Linear Regression - Is the linear model appropriate?

Simple Linear Regression - Is the linear model appropriate?

Paired T Test in Statcrunch

Paired T Test in Statcrunch

Making Frequency Tables from Data

Making Frequency Tables from Data

Making a Relative Frequency Table from a Frequency Table

Making a Relative Frequency Table from a Frequency Table

Basic Expected Value Word Problem

Basic Expected Value Word Problem

Working with a Custom Distribution

Working with a Custom Distribution

Completing a Discrete Distribution Table

Completing a Discrete Distribution Table

Using the Empirical Rule

Using the Empirical Rule

Summary Statistics from Frequency Data

Summary Statistics from Frequency Data

Frequency Table in the Simple Stat Tool

Frequency Table in the Simple Stat Tool

Summary Statistics in the simple stat tool

Summary Statistics in the simple stat tool

SNHU MAT240, HW1-13 - An ad-hoc probability distribution

SNHU MAT240, HW1-13 - An ad-hoc probability distribution

SNHU MAT240, HW1-14 - Expected Value of an Insurance Policy

SNHU MAT240, HW1-14 - Expected Value of an Insurance Policy

Perform a 1-Way ANOVA Test (1 of 2)

Perform a 1-Way ANOVA Test (1 of 2)

Perform a 1-Way ANOVA Test (2 of 2)

Perform a 1-Way ANOVA Test (2 of 2)

Fill in an ANOVA Table

Fill in an ANOVA Table

Perform a Goodness of Fit Test (P-Value Approach)

Perform a Goodness of Fit Test (P-Value Approach)

Perform a Goodness of Fit Test (Classical Method)

Perform a Goodness of Fit Test (Classical Method)

Finding the Expected Frequency Distribution

Finding the Expected Frequency Distribution

Constructing a Confidence Interval for the Slope Coefficient and Model Prediction (2 of 2)

Constructing a Confidence Interval for the Slope Coefficient and Model Prediction (2 of 2)

Constructing a Confidence Interval for the Slope Coefficient and Model Prediction (1 of 2)

Constructing a Confidence Interval for the Slope Coefficient and Model Prediction (1 of 2)

Hypothesis Testing the Slope of a Regression Line

Hypothesis Testing the Slope of a Regression Line

Finding and Interpreting R-Squared, the Coefficient of Determination

Finding and Interpreting R-Squared, the Coefficient of Determination

Finding and Interpreting Predicted Values and Residuals

Finding and Interpreting Predicted Values and Residuals

Calculating the Sum of Squares of Residuals

Calculating the Sum of Squares of Residuals

Finding Correlations within Sub-Populations

Finding Correlations within Sub-Populations

Graphing the Least Squares Line

Graphing the Least Squares Line

Graphing a Scatterplot and finding the Correlation Coefficient

Graphing a Scatterplot and finding the Correlation Coefficient

Performing a hypothesis test on the difference of two population means using sample data

Performing a hypothesis test on the difference of two population means using sample data

Constructing a confidence interval on the difference of two population means using sample stats

Constructing a confidence interval on the difference of two population means using sample stats

Statistical Inference on the difference of 2 population means (using sample stats)

Statistical Inference on the difference of 2 population means (using sample stats)

Performing a Paired T Test

Performing a Paired T Test

Constructing a confidence interval for the difference of two population proportions

Constructing a confidence interval for the difference of two population proportions

Hypothesis Test on the difference of two population proportions

Hypothesis Test on the difference of two population proportions

1 Sample Hypothesis Test on the Population Proportion (Classical & P value Method)

1 Sample Hypothesis Test on the Population Proportion (Classical & P value Method)

1 Sample Hypothesis Test on the Population Proportion (Classical Method)

1 Sample Hypothesis Test on the Population Proportion (Classical Method)

Finding Critical Z Values

Finding Critical Z Values

1 Sample Hypothesis Test on the Mean (Sample Stats, P-Value Approach)

1 Sample Hypothesis Test on the Mean (Sample Stats, P-Value Approach)

1 Sample Hypothesis Test on the Mean (using Sample Data)

1 Sample Hypothesis Test on the Mean (using Sample Data)

1 Sample Hypothesis Test on the Mean (Classical Method)

1 Sample Hypothesis Test on the Mean (Classical Method)

Finding Critical T Values

Finding Critical T Values

Finding the necessary sample size: population mean

Finding the necessary sample size: population mean

Constructing a confidence interval for the population mean using data

Constructing a confidence interval for the population mean using data

Constructing a confidence interval for the population mean using summary stats

Constructing a confidence interval for the population mean using summary stats

Using statcrunch to find critical t values

Using statcrunch to find critical t values

Finding necessary sample size: confidence interval for population proportion

Finding necessary sample size: confidence interval for population proportion