Канал: Elementary Stats with CMoss

Canvas Tour Fall 2024 with C. Moss

Canvas Tour Fall 2024 with C. Moss

GMT20230828 230445 Recording 1920x852

GMT20230828 230445 Recording 1920x852

MAT-13-1130 Lecture 3/15/23

MAT-13-1130 Lecture 3/15/23

The Normal Probability Plot Fall 2022

The Normal Probability Plot Fall 2022

The Modified Box Plot Fall 2022

The Modified Box Plot Fall 2022

Math 13 Office Hour Lecture 3.2, Ch. 2 Review

Math 13 Office Hour Lecture 3.2, Ch. 2 Review

Spring 2022 Welcome Canvas Tour

Spring 2022 Welcome Canvas Tour

Spring 2022 Canvas Tour

Spring 2022 Canvas Tour

Final Exam Review: Part 3

Final Exam Review: Part 3

Final Exam Review: Part 2

Final Exam Review: Part 2

Final Exam Review: Part 1

Final Exam Review: Part 1

Office Hour Video: Chapter 12.1 Analysis of Variance (ANOVA)

Office Hour Video: Chapter 12.1 Analysis of Variance (ANOVA)

Office Hour Video: Chapter 11.2 Contingency Tables

Office Hour Video: Chapter 11.2 Contingency Tables

Office Hour Video: Chapter 11.1 Goodness-of-Fit

Office Hour Video: Chapter 11.1 Goodness-of-Fit

Office Hour Video: Chapter 9.3 Dependent Samples (Matched Pairs)

Office Hour Video: Chapter 9.3 Dependent Samples (Matched Pairs)

Office Hour Video: Chapter 9.2 Independent Samples

Office Hour Video: Chapter 9.2 Independent Samples

Office Hour Video: Exam 3 Review Part 3

Office Hour Video: Exam 3 Review Part 3

Office Hour Video: Exam 3 Review Part 1

Office Hour Video: Exam 3 Review Part 1

Office Hour Video: Exam 3 Review Part 2

Office Hour Video: Exam 3 Review Part 2

ch 10.1 Correlation

ch 10.1 Correlation

Office Hour Lecture: Chapter 8 Summary

Office Hour Lecture: Chapter 8 Summary

Office Hour Lecture: Section 8.3 Testing a Claim about a Mean

Office Hour Lecture: Section 8.3 Testing a Claim about a Mean

Office Hour Lecture: Section 8.2 Testing a Claim about a Proportion Part 2

Office Hour Lecture: Section 8.2 Testing a Claim about a Proportion Part 2

Office Hour Lecture: Section 8.2 Testing a Claim about a Proportion Part 1

Office Hour Lecture: Section 8.2 Testing a Claim about a Proportion Part 1

Office Hour Lecture: Section 8.1 Hypothesis Basics Part 2

Office Hour Lecture: Section 8.1 Hypothesis Basics Part 2

Office Hour Lecture: Section 8.1 Hypothesis Basics Part 1

Office Hour Lecture: Section 8.1 Hypothesis Basics Part 1

Office Hour Lecture: Section 8.0 An Introduction to Hypothesis Testing

Office Hour Lecture: Section 8.0 An Introduction to Hypothesis Testing

Office Hour Lecture: Section 7.2 Estimating a Population Mean

Office Hour Lecture: Section 7.2 Estimating a Population Mean

Office Hour Lecture: Section 7.1 Sample Size Determination

Office Hour Lecture: Section 7.1 Sample Size Determination

Office Hour Lecture: Section 7.1 Estimating a Population Proportion

Office Hour Lecture: Section 7.1 Estimating a Population Proportion

Office Hour Lecture: Exam 2 Review Ch. 5

Office Hour Lecture: Exam 2 Review Ch. 5

Office Hour Lecture: Exam 2 Review Ch. 4

Office Hour Lecture: Exam 2 Review Ch. 4

Office Hour Lecture: Chapter 6.4 The Central Limit Theorem Part 1

Office Hour Lecture: Chapter 6.4 The Central Limit Theorem Part 1

Office Hour Lecture: Chapter 6.3 Estimators and Sampling Distributions

Office Hour Lecture: Chapter 6.3 Estimators and Sampling Distributions

Office Hour Lecture: Chapter 6.1 Using invNorm with the standard normal distribution

Office Hour Lecture: Chapter 6.1 Using invNorm with the standard normal distribution

Office Hour Lecture: Chapter 6.2 Applications of Normal Distributions

Office Hour Lecture: Chapter 6.2 Applications of Normal Distributions

Office Hour Lecture: Chapter 6.1 The standard normal distribution, using normalcdf

Office Hour Lecture: Chapter 6.1 The standard normal distribution, using normalcdf

Office Hour Lecture: Chapter 6 Introduction to area as probability, and the z-distribution

Office Hour Lecture: Chapter 6 Introduction to area as probability, and the z-distribution

Office Hour Lecture: Chapter 5 Significant Outcomes

Office Hour Lecture: Chapter 5 Significant Outcomes

Office Hour Lecture: Chapter 5 Parameters of a Binomial Distribution

Office Hour Lecture: Chapter 5 Parameters of a Binomial Distribution

Office Hour Lecture: Chapter 5 Discrete Probability Distributions

Office Hour Lecture: Chapter 5 Discrete Probability Distributions

Office Hour Lecture: Chapter 5 Binomial Probability Distributions

Office Hour Lecture: Chapter 5 Binomial Probability Distributions

Office Hour Lecture: Chapter 4 Counting Rules

Office Hour Lecture: Chapter 4 Counting Rules

Office Hour Lecture: Chapter 4 Probability of At Least One, Conditional Probability

Office Hour Lecture: Chapter 4 Probability of At Least One, Conditional Probability

Office Hour Lecture: Chapter 4 Tree Diagrams

Office Hour Lecture: Chapter 4 Tree Diagrams

Chapter 4: Probability Basics

Chapter 4: Probability Basics

Office Hour Lecture: Chapter 4 Addition and Multiplication Rules

Office Hour Lecture: Chapter 4 Addition and Multiplication Rules

Office Hour Lecture: Exam 1 Review: Chapter 3.2

Office Hour Lecture: Exam 1 Review: Chapter 3.2

Office Hour Lecture: Exam 1 Review: Chapter 3.1

Office Hour Lecture: Exam 1 Review: Chapter 3.1

Office Hour Lecture: Exam 1 Review: Chapter 2

Office Hour Lecture: Exam 1 Review: Chapter 2

Office Hour Lecture: Exam 1 Review: Chapter 1

Office Hour Lecture: Exam 1 Review: Chapter 1

Chapter 3 Lecture: Measures of Variation

Chapter 3 Lecture: Measures of Variation

Office Hour Lecture: Chapter 3: Review

Office Hour Lecture: Chapter 3: Review

Office Hour Lecture: Chapter 3: Z-scores, quartiles, and box plots

Office Hour Lecture: Chapter 3: Z-scores, quartiles, and box plots

Office Hour Lecture: Chapter 3: The Empirical Rule

Office Hour Lecture: Chapter 3: The Empirical Rule

Office Hour Lecture: Chapter 3: Measures of Variation

Office Hour Lecture: Chapter 3: Measures of Variation

Chapter 3 Lecture: Measures of Center

Chapter 3 Lecture: Measures of Center

Office Hour Lecture: Chapter 3: Measures of Center

Office Hour Lecture: Chapter 3: Measures of Center

Office Hour Lecture: Chapter 2; Constructing a frequency distribution

Office Hour Lecture: Chapter 2; Constructing a frequency distribution

Office Hour Lecture: Chapter 2; Vocabulary

Office Hour Lecture: Chapter 2; Vocabulary

Chapter 2 Lecture: Section 2.1 Part 2

Chapter 2 Lecture: Section 2.1 Part 2

Chapter 2 Lecture: Section 2.1 Part 1

Chapter 2 Lecture: Section 2.1 Part 1

Chapter 1: Data Types and Sampling Methods

Chapter 1: Data Types and Sampling Methods

Chapter 1: Basic Vocabulary

Chapter 1: Basic Vocabulary

Week 1 Lecture: Canvas Tour

Week 1 Lecture: Canvas Tour

Week 1: Math 213 Canvas Introduction

Week 1: Math 213 Canvas Introduction

Week 1: Math 13 Canvas Introduction

Week 1: Math 13 Canvas Introduction

Lecture: Claims about Matched Pairs

Lecture: Claims about Matched Pairs

Chapter 9: Claims About Two Means; Independent Samples

Chapter 9: Claims About Two Means; Independent Samples

Lecture: Claims About a Mean

Lecture: Claims About a Mean

Lecture: P-Values

Lecture: P-Values

Lecture: Hypothesis test components

Lecture: Hypothesis test components

School Syllabus

School Syllabus

Canvas Tour SP21

Canvas Tour SP21

Welcome to Spring Semester 2021

Welcome to Spring Semester 2021

Hypothesis Test Demonstration

Hypothesis Test Demonstration

Chapter 10: A Complete Example

Chapter 10: A Complete Example

Chapter 10.2: Finding the Regression Equation

Chapter 10.2: Finding the Regression Equation

Confidence Intervals Examples for Proportions

Confidence Intervals Examples for Proportions

Introduction to Inferential Statistics

Introduction to Inferential Statistics

Finding the Margin of Error for a Population Proportion

Finding the Margin of Error for a Population Proportion

Confidence Interval Sample Size Determination

Confidence Interval Sample Size Determination

Chapter 6.4: The Central Limit Theorem

Chapter 6.4: The Central Limit Theorem

Chapter 6.3: Estimators and Sampling Distributions

Chapter 6.3: Estimators and Sampling Distributions

Math 213 Lab: Probability Basics

Math 213 Lab: Probability Basics

Chapter 6.2: Applications of Normal Distributions

Chapter 6.2: Applications of Normal Distributions

Chapter 6.1: Finding scores on the Standard Normal Distribution

Chapter 6.1: Finding scores on the Standard Normal Distribution

Chapter 6.1: Finding Probabilities with the Standard Normal Distribution

Chapter 6.1: Finding Probabilities with the Standard Normal Distribution

Binomial Distribution Parameters

Binomial Distribution Parameters

Discrete Probability Distributions

Discrete Probability Distributions

The Binomial Distribution, Finding Probabilities

The Binomial Distribution, Finding Probabilities

Math 213 Lab for Statistics Day 1 Details

Math 213 Lab for Statistics Day 1 Details

Math 13 Elementary Statistics Day 1 Detail

Math 13 Elementary Statistics Day 1 Detail

Welcome and Canvas Introduction

Welcome and Canvas Introduction

Chapter 4.4: Counting

Chapter 4.4: Counting

Chapter 4.3: Complementary Events and Conditional Probability

Chapter 4.3: Complementary Events and Conditional Probability

Chapter 4.2: The Addition and Multiplication Rules for Probability

Chapter 4.2: The Addition and Multiplication Rules for Probability

Chapter 4.1: Introduction to Probability

Chapter 4.1: Introduction to Probability

Chapter 3.3: Z-scores and Box plots

Chapter 3.3: Z-scores and Box plots

Chapter 3.2: The Empirical Rule

Chapter 3.2: The Empirical Rule

Chapter 3.2: Measures of Variation

Chapter 3.2: Measures of Variation

Chapter 3.1: Measures of Center

Chapter 3.1: Measures of Center

Chapter 3: Calculator Introduction

Chapter 3: Calculator Introduction

Chapter 2.1 Frequency Distributions Part A

Chapter 2.1 Frequency Distributions Part A

Chapter 10.1 Tests for Correlation

Chapter 10.1 Tests for Correlation

Chapter 10.1 Intro to Correlation

Chapter 10.1 Intro to Correlation

Chapter 10.1 Generating Scatter Plots

Chapter 10.1 Generating Scatter Plots

H-Test for Means

H-Test for Means

Hypotheses Tests for Proportions

Hypotheses Tests for Proportions

Chapter 8.1 H-Test Methods

Chapter 8.1 H-Test Methods

Chapter 8.1 H-Test Error

Chapter 8.1 H-Test Error

Chapter 8.1 Outcomes

Chapter 8.1 Outcomes

Chapter 8.1 P-values

Chapter 8.1 P-values

Chapter 8.1 The Test Statistic

Chapter 8.1 The Test Statistic

Chapter 8.1 Rejection Regions

Chapter 8.1 Rejection Regions

Chapter 8.1 Writing Hypotheses

Chapter 8.1 Writing Hypotheses

Chapter 8.1 Introduction

Chapter 8.1 Introduction

Chapter 7.1 Margin of Error

Chapter 7.1 Margin of Error

Constructing the Margin of Error for a Mean

Constructing the Margin of Error for a Mean

Critical Values and t-scores

Critical Values and t-scores

Examples of Confidence Intervals for a Mean

Examples of Confidence Intervals for a Mean

Exam 2/Chapter 7 Update

Exam 2/Chapter 7 Update

Confidence Intervals for a Population Proportion

Confidence Intervals for a Population Proportion

Chapter 7 Introduction

Chapter 7 Introduction

Examples of Confidence Intervals for a Population Mean

Examples of Confidence Intervals for a Population Mean

7.1 Video Examples Sample Size Determination

7.1 Video Examples Sample Size Determination

Video Examples Confidence Intervals

Video Examples Confidence Intervals