Stat 300 Materials

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Stat 300 Syllabus 2018

Stat 300 Book Corrections

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Chapter 1 Introduction to Statistics Lectures

1 -1: Introduction to Descriptive Statistics Lecture

1 -2: Data Types Lecture

1 -3 Observational Studies and Experiments Lecture

Chapter 1 Review

Chapter 2 Summarizing Data Lectures

2-1A: Frequency Tables Lecture

2-1B: Class Frequency Tables Lecture

2-1C: Relative Frequency Tables Lecture

2-1D: Cumulative Frequency Tables Lecture

2-2A: Histograms Graphs Lecture

2-2B: Normal Relative Histograms Lecture e

2-2C: Normal Distributions and Normal Histograms Lecture

2-3A: Frequency Polygons Lecture

2-3B: Cumulative Frequency Line Graphs Lecture

2-4: Special Graphs Lecture

Chapter 2 Review

Chapter 3 Numerical Measures of Data Lectures

3-1A: TI30 IIS Calculator Intro Lecture

3-1B: Finding the Mean and Standard Deviation Lecture

3-1C: Finding the Mode and Median Lecture

3-2A: The Empirical Rule and the meaning of Standard Deviation Lecture

3-2B: Chebyshev's Rule and Standard Deviation Lecture

3-3A: Z Scores Lecture Lecture

3-3B: Relative Position and Percentiles

Chapters 1 ,2 and 3 Review

Chapters 1 ,2 and 3 Test Notes

Chapter 4 Probability Lectures

4 -1A: Basic Probability Introduction Lecture

4 -1B: Basic Probability Lecture

4 -1C: Basic Probability Examples

4 -2A: Conditional Probability Introduction

4 -2B: Probability And (Independent Case)

4 -2C: P(A | B) P(A given B)

4 -2D: Probability And (Dependent Case)

4 -3A Contingency Table Intro Lecture

4 -3B Contingency Table AND OR Notation Introduction

4 -3C Contingency Table AND OR Probability Examples

4 -3D Contingency Table Complement Notation Lecture

4 -3E Contingency Table Given Notation Lecture

4 -4 Venn Diagrams Lecture

4 -5 Counting Techniques Lecture

4 -6A: Factorials Lecture

4 -6B: Permutations Lecture

4 -6C: Combinations Lecture

Chapter 4 Notes

Chapter 5 Probability Distributions Lectures

5-1A Lecture: Discrete Probability Distributions Introduction

5-1B Lecture: Discrete Probability Distributions Tables

5-1C Lecture: Probability Distributions Tables Mean and Standard Deviation

5-1D Lecture: Expected Value Tables

5-2A Lecture: Binomial Probability Distributions

5-2B Lecture: Binomial Probabilities without a table

5-3 Lecture: The Mean and Standard Deviation of Binomial Probability Distributions

Chapter 5 Notes

Chapter 4 and 5 Test Notes

Chapter 6 Normal Probability Distributions Lectures

6-1A Lecture: Discrete to Continuous Probability Distributions Introduction

6-1B Lecture: Normal or Bell Shaped Distributions

6-2A Lecture: Normal Probability Distributions Introduction

6-2B Lecture: Interpreting the Area Under a Normal Distribution

6-3A Lecture: Standard Normal Distributions Introduction

6-3B Lecture: Finding probabilities involving Z scores

6-3C Lecture: Finding the Z value (Z score) given an area in either tail

6-4A Lecture: Converting x in a Normal Distribution to z in a Standard Normal Distribution

6-4B Lecture: The relationship between P(z) and P(z)

6-4C Lecture: Finding probabilities involving Normal Distributions of x

6-4D Lecture: Finding an x value given a tail area

6-5 Lecture: Finding probabilities involving Normal Distributions of x (applications)

6-6 Lecture: Central Limit Theorem Intro Lecture

6-7A Lecture: Central Limit Lecture

6-7B Lecture: Finding probabilities involving the Distribution of Sample Means

6-8A Normal Distribution to Approximate a Binomial Probability Distribution Intro

6-8B Normal Distribution to Approximate a Binomial Probability Distribution Examples

Chapter 6 Notes

Chapter 7 Confidence Intervals

7-1A: Population proportion Introduction

7-1B: Confidence Intervals critical values

7-1C: Confidence Intervals for estimating a population proportion introduction

7-1D: Creating a Confidence Interval for estimating a population proportion Examples

7-1E: Sample Size required to estimate a population proportion Examples

7-2A: Confidence Intervals for estimating a population mean Introduction

7-2B: Confidence Intervals T critical values

7-2C: Creating a confidence Interval for a population mean Examples

7-2D: Sample Size required to estimate a population mean Examples

7-3A: Confidence Intervals for estimating a population standard deviation introduction

7-3B: Confidence Intervals T critical values

7-3C: Creating a confidence Interval for a population standard deviation Examples

7-3D: Sample Size required to estimate a population standard deviation

Chapter 7 Notes

Chapter 6 and 7 Test Notes

Chapter 8 Hypothesis Testing Lectures

8-1A: Intro to hypothesis testing

8-1B: Type I and Type II Errors

8-1C: The basics of hypothesis testing

8-1D: The steps of hypothesis testing

8-2A: Intro to hypothesis testing for population proportions

8-2B: Z table critical values for hypothesis testing

8-2C: Examples hypothesis testing for population proportions

8-3A: Intro to hypothesis testing for population means

8-3B: t table critical values for hypothesis testing for population means

8-3C: Examples of hypothesis testing for population means

8-4A: Intro to hypothesis testing for population standard deviations

8-4B: Chi-Square Table critical values for hypothesis testing

8-4C: Examples of hypothesis testing for population standard deviations

Chapter 8 Notes

Chapter 9 Hypothesis Testing From Two Samples

9-0: Intro to Hypothesis Testing with two populations

9-1A: Hypothesis Testing to Compare the Difference in 2 Population Proportions

9-1B: Using Confidence Intervals to Compare the Difference in 2 Population Proportions

9-2A: Hypothesis Testing to Compare the Difference in 2 Population Means (Independent Samples)

9-2B: Using Confidence Intervals to Compare the Difference in 2 Population Means

9-3: One Way ANOVA

9-3: One Way ANOVA Spreadsheet

9-4A: Hypothesis Testing to Compare the Difference in 2 Population Standard Deviations Examples

9-4B: F Table Critical Values

9-5A: Hypothesis Testing to Compare the Difference in 2 Population Means (Dependent Samples) (Matched Pairs)

9-5: Using Confidence Intervals to Compare the Difference in 2 Population Means (Dependent Samples) (Matched Pairs)

Chapter 9 Notes

Chapter 8 and 9 Test Notes

Tables

Positive Z Table

F Table for alpha = .01

Negative Z Table

F Table for alpha = .025

T Table

F Table for alpha = .05

Chi Square Table