Stat 300 Materials
The lectures and homework may contain some typos. Edits
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Stat
300 Syllabus Summer 2018

Stat
300 Book Corrections

Stat
300 Syllabus Fall Spring 2018


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

21A:
Frequency Tables Lecture

21B:
Class Frequency Tables Lecture

21C:
Relative Frequency Tables Lecture

21D:
Cumulative Frequency Tables Lecture

22A:
Histograms Graphs Lecture

22B:
Normal Relative Histograms Lecture e

22C:
Normal Distributions and Normal Histograms Lecture


23A:
Frequency Polygons Lecture

23B:
Cumulative Frequency Line Graphs Lecture

24:
Special Graphs Lecture


Chapter
2 Review




Chapter 3 Numerical Measures of Data
Lectures

31A:
TI30 IIS Calculator Intro Lecture

31B:
Finding the Mean and Standard Deviation Lecture

31C:
Finding the Mode and Median Lecture


32A:
The Empirical Rule and the meaning of Standard Deviation
Lecture

32B:
Chebyshev's Rule and Standard Deviation Lecture

33A:
Z Scores Lecture Lecture

33B:
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
4A Venn Diagrams Introduction

4
4B 3 Circle Venn Diagrams

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

51A
Lecture: Discrete Probability Distributions
Introduction

51B
Lecture: Discrete Probability Distributions Tables

51C
Lecture: Probability Distributions Tables Mean and Standard
Deviation

51D
Lecture: Expected Value Tables

52A
Lecture: Binomial Probability Distributions

52B
Lecture: Binomial Probabilities without a table

53
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

61A
Lecture: Discrete to Continuous Probability Distributions
Introduction

61B
Lecture: Normal or Bell Shaped Distributions

62A
Lecture: Normal Probability Distributions
Introduction

62B
Lecture: Interpreting the Area Under a Normal
Distribution

63A
Lecture: Standard Normal Distributions Introduction

63B
Lecture: Finding probabilities involving Z scores

63C
Lecture: Finding the Z value (Z score) given an area in
either tail


64A
Lecture: Converting x in a Normal Distribution to z in a
Standard Normal Distribution

64B
Lecture: The relationship between P(z) and P(z)

64C
Lecture: Finding probabilities involving Normal
Distributions of x

64D
Lecture: Finding an x value given a tail area

65
Lecture: Finding probabilities involving Normal
Distributions of x (applications)


66
Lecture: Central Limit Theorem Intro Lecture


67A
Lecture: Central Limit Lecture

67B
Lecture: Finding probabilities involving the Distribution of
Sample Means

68A
Normal Distribution to Approximate a Binomial Probability
Distribution Intro

68B
Normal Distribution to Approximate a Binomial Probability
Distribution Examples

Chapter
6 Notes




Chapter 7 Confidence Intervals

71A:
Population proportion Introduction

71B:
Confidence Intervals critical values

71C:
Confidence Intervals for estimating a population proportion
introduction

71D:
Creating a Confidence Interval for estimating a population
proportion Examples

71E:
Sample Size required to estimate a population proportion
Examples


72A:
Confidence Intervals for estimating a population mean
Introduction

72B:
Confidence Intervals T critical values

72C:
Creating a confidence Interval for a population mean
Examples

72D:
Sample Size required to estimate a population mean
Examples

73A:
Confidence Intervals for estimating a population standard
deviation introduction

73B:
Confidence Intervals T critical values

73C:
Creating a confidence Interval for a population standard
deviation Examples

73D:
Sample Size required to estimate a population standard
deviation

Chapter
7 Notes


Chapter
6 and 7 Test Notes


Chapter 8 Hypothesis Testing
Lectures

81A:
Intro to hypothesis testing

81B:
Type I and Type II Errors

81C:
The basics of hypothesis testing

81D:
The steps of hypothesis testing

82A:
Intro to hypothesis testing for population
proportions

82B:
Z table critical values for hypothesis testing

82C:
Examples hypothesis testing for population
proportions


83A:
Intro to hypothesis testing for population means

83B:
t table critical values for hypothesis testing for
population means

83C:
Examples of hypothesis testing for population means


84A:
Intro to hypothesis testing for population standard
deviations

84B:
ChiSquare Table critical values for hypothesis
testing

84C:
Examples of hypothesis testing for population standard
deviations


Chapter
8 Notes




Chapter 9 Hypothesis Testing From Two
Samples

90: Intro to Hypothesis Testing with two populations


91A:
Hypothesis Testing to Compare the Difference in 2 Population
Proportions

91B:
Using Confidence Intervals to Compare the Difference in 2
Population Proportions

92A:
Hypothesis Testing to Compare the Difference in 2 Population
Means (Independent Samples)

92B:
Using Confidence Intervals to Compare the Difference in 2
Population Means

93A:
Hypothesis Testing to Compare the Difference in 2 Population
Standard Deviations Examples

94B: F Table Critical Values

94:
One Way ANOVA

94:
One Way ANOVA Spreadsheet

95A:
Hypothesis Testing to Compare the Difference in 2 Population
Means (Dependent Samples) (Matched Pairs)

95B:
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

