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  • Barbara Illowsky
The Chi-Square Distribution: Homework
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This module provides homework on Chi-Square Distribution as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.

Subject:
Statistics and Probability
Material Type:
Homework/Assignment
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Collaborative Statistics: Projects: Continuous Distributions and Central Limit Theorem
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In this project, students will identify and analyze a continuous data set, determine which distribution model most closely describes the data, and calculate probabilities.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Continuous Random Variables: Continuous Probability Functions
Conditions of Use:
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This module introduces the continuous probability function and explores the relationship between the probability of X and the area under the curve of f(X).

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Continuous Random Variables: Teacher's Guide
Conditions of Use:
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This module is the complementary teacher's guide for the Continuous Random Variables chapter of the Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.

Subject:
Statistics and Probability
Material Type:
Teaching/Learning Strategy
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Continuous Random Variables: The Exponential Distribution
Conditions of Use:
No Strings Attached
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This module introduces the properties of the exponential distribution, the behavior of probabilities that reflect a large number of small values and a small number of high values.

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Continuous Random Variables: The Uniform Distribution
Conditions of Use:
No Strings Attached
Rating

This module describes the properties of the Uniform Distribution which describes a set of data for which all values have an equal probability.

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Descriptive Statistics: Histogram
Conditions of Use:
No Strings Attached
Rating

This module provides an overview of Descriptive Statistics: Histogram as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Descriptive Statistics: Practice 1
Conditions of Use:
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This module provides students with opportunities to apply concepts related to descriptive statistics. Students are asked to take a set of sample data and calculate a series of statistical values for that data.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Discrete Random Variables: Common Discrete Probability Distribution Functions
Conditions of Use:
No Strings Attached
Rating

This module serves as a lead-in for several types of common discrete probability distribution functions, including binomial, geometric, hypergeometric, and Poisson.

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Discrete Random Variables: Geometric (optional)
Conditions of Use:
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Rating

This module describes the geometric experiment and the geometric probability distribution. This module is included in the Collaborative Statistics textbook/collection as an optional lesson.

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Discrete Random Variables: Hypergeometric (optional)
Conditions of Use:
No Strings Attached
Rating

This module describes the properties of a hypergeometric experiment and hypergeometric probability distribution. This module is included in the Collaborative Statistics textbook/collection as an optional lesson

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Discrete Random Variables: Lab II
Conditions of Use:
No Strings Attached
Rating

This module allows students to apply concepts related to discrete distributions to a simple dice experiment. Students will compare empirical data and a theoretical distribution to determine if the game fits a discrete distribution. This experiment involves the concept of long-term probabilities.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011
Discrete Random Variables: Lab I (edited: Teegarden)
Conditions of Use:
No Strings Attached
Rating

This module allows students to explore concepts related to discrete random variables through the use of a simple playing card experiment. Students will compare empirical data to a theoretical distribution to determine if the experiment fist a discrete distribution. This lab involves the concept of long-term probabilities. Labs changed to incorporate mini-tabs.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan DeanMary Teegarden
Date Added:
02/16/2011
Discrete Random Variables: Mean or Expected Value and Standard Deviation
Conditions of Use:
No Strings Attached
Rating

This module explores the Law of Large Numbers, the phenomenon where an experiment performed many times will yield cumulative results closer and closer to the theoretical mean over time.

Subject:
Statistics and Probability
Material Type:
Reading
Provider:
Rice University
Provider Set:
Connexions
Author:
Barbara Illowsky
Susan Dean
Date Added:
02/16/2011