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Collaborative Statistics (MT230-Spring 2012) by Barbara Illowsky, Ph.D., Susan Dean - HTML preview
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Collaborative Statistics (MT230-Spring 2012)
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Collaborative Statistics
Table of Contents
Preface
1
.
About Connexions
2
.
About “Collaborative Statistics”
Additional Resources
Author Acknowledgements
Student Welcome Letter
Chapter
1
.
Sampling and Data
1.1
.
Sampling and Data
Student Learning Outcomes
Introduction
1.2
.
Statistics
Optional Collaborative Classroom Exercise
Levels of Measurement and Statistical Operations
1.3
.
Probability
1.4
.
Key Terms
Optional Collaborative Classroom Exercise
1.5
.
Data
1.6
.
Sampling
Optional Collaborative Classroom Exercise
1.7
.
Variation
Variation in Data
Variation in Samples
Size of a Sample
Optional Collaborative Classroom Exercise
Critical Evaluation
1.8
.
Answers and Rounding Off
1.9
.
Frequency
Optional Collaborative Classroom Exercise
1.10
.
Summary
1.11
.
Practice: Sampling and Data
Student Learning Outcomes
Given
Organize the Data
Key Terms
Discussion Questions
1.12
.
Homework
Try these multiple choice questions
1.13
.
Lab 1: Data Collection
Student Learning Outcomes
Movie Survey
Order the Data
Discussion Questions
1.14
.
Lab 2: Sampling Experiment
Student Learning Outcomes
A Simple Random Sample
A Systematic Sample
A Stratified Sample
A Stratified Sample
A Cluster Sample
Restaurants Stratified by City and Entree Cost
Chapter
2
.
Descriptive Statistics
2.1
.
Descriptive Statistics
Student Learning Outcomes
Introduction
2.2
.
Displaying Data
2.3
.
Stem and Leaf Graphs (Stemplots), Line Graphs and Bar Graphs
2.4
.
Histograms
Optional Collaborative Exercise
2.5
.
Box Plots
2.6
.
Measures of the Location of the Data
2.7
.
Measures of the Center of the Data
The Law of Large Numbers and the Mean
Sampling Distributions and Statistic of a Sampling Distribution
2.8
.
Skewness and the Mean, Median, and Mode
2.9
.
Measures of the Spread of the Data
2.10
.
Summary of Formulas
2.11
.
Practice 1: Center of the Data
Student Learning Outcomes
Given
Complete the Table
Discussion Questions
Enter the Data
Construct a Histogram
Data Statistics
Calculations
Box Plot
Interpretation
2.12
.
Practice 2: Spread of the Data
Student Learning Outcomes
Given
Calculate the Values
2.13
.
Homework
Try these multiple choice questions (Exercises 24 - 30).
2.14
.
Lab: Descriptive Statistics
Student Learning Outcomes
Collect the Data
Analyze the Data
Chapter
3
.
Probability Topics
3.1
.
Probability Topics
Student Learning Outcomes
Introduction
Optional Collaborative Classroom Exercise
3.2
.
Terminology
3.3
.
Independent and Mutually Exclusive Events
Independent Events
Mutually Exclusive Events
3.4
.
Two Basic Rules of Probability
The Multiplication Rule
The Addition Rule
3.5
.
Contingency Tables
3.6
.
Venn Diagrams (optional)
3.7
.
Tree Diagrams (optional)
3.8
.
Summary of Formulas
3.9
.
Practice 1: Contingency Tables
Student Learning Outcomes
Given
Complete the Table
Analyze the Data
Discussion Questions
3.10
.
Practice 2: Calculating Probabilities
Student Learning Outcomes
Given
Analyze the Data
3.11
.
Homework
Try these multiple choice questions.
3.12
.
Review
3.13
.
Lab: Probability Topics
Student Learning Outcomes:
Do the Experiment:
Discussion Questions
Chapter
4
.
Discrete Random Variables
4.1
.
Discrete Random Variables
Student Learning Outcomes
Introduction
Random Variable Notation
Optional Collaborative Classroom Activity
4.2
.
Probability Distribution Function (PDF) for a Discrete Random Variable
4.3
.
Mean or Expected Value and Standard Deviation
4.4
.
Common Discrete Probability Distribution Functions
4.5
.
Binomial
Notation for the Binomial: B = Binomial Probability Distribution Function
4.6
.
Geometric (optional)
Notation for the Geometric: G = Geometric Probability Distribution Function
4.7
.
Hypergeometric (optional)
Notation for the Hypergeometric: H = Hypergeometric Probability Distribution Function
4.8
.
Poisson
Notation for the Poisson: P = Poisson Probability Distribution Function
4.9
.
Summary of Functions
4.10
.
Practice 1: Discrete Distribution
Student Learning Outcomes
Given:
Organize the Data
Discussion Question
4.11
.
Practice 2: Binomial Distribution
Student Learning Outcomes
Given
Interpret the Data
4.12
.
Practice 3: Poisson Distribution
Student Learning Outcomes
Given
Interpret the Data
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