intro - Introductory Statistics Notes Jamie DeCoster...

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Unformatted text preview: Introductory Statistics Notes Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 35487-0348 Phone: (205) 348-4431 Fax: (205) 348-8648 August 1, 1998 These were compiled from Jamie DeCoster’s introductory statistics class at Purdue University. Textbook ref- erences refer to Moore’s The Active Practice of Statistics . CD-ROM references refer to Velleman’s ActivStats . If you wish to cite the contents of this document, the APA reference for them would be DeCoster, J. (1998). Introductory Statistics Notes. Retrieved < month, day, and year you downloaded this file > from http://www.stat-help.com/notes.html For help with data analysis visit http://www.stat-help.com ALL RIGHTS TO THIS DOCUMENT ARE RESERVED. Contents I Understanding Data 2 1 Introduction 3 2 Data and Measurement 4 3 The Distribution of One Variable 5 4 Measuring Center and Spread 7 5 Normal Distributions 10 II Understanding Relationships 12 6 Comparing Groups 13 7 Scatterplots 14 8 Correlation 15 9 Least-Squares Regression 16 9 Association vs. Causation 18 III Generating Data 19 10 Sample Surveys 20 11 Designed Experiments 21 IV Experience with Random Behavior 23 12 Randomness 24 13 Intuitive Probability 25 14 Conditional Probability 26 15 Random Variables 27 16 Sampling Distributions 28 i V Statistical Inference 29 17 Estimating With Confidence 30 18 Confidence Intervals for a Mean 31 19 Testing Hypotheses 32 20 Tests for a Mean 34 VI Topics in Inference 36 21 Comparing Two Means 37 22 Inference for Proportions 39 23 Two-Way Tables 41 24 Inference for Regression 42 25 One-Way Analysis of Variance 45 1 Part I Understanding Data 2 Chapter 1 Introduction • It is important to know how to understand statistics so that we can make the proper judgments when a person or a company presents us with an argument backed by data. • Data are numbers with a context. To properly perform statistics we must always keep the meaning of our data in mind. • You will spend several hours every day working on this course. You are responsible for material covered in lecture, as well as the contents of the textbook and the CD-ROM. You will have homework, CD- ROM, and reading assignments every day. It is important not to get behind in this course. A good work schedule would be: ◦ Review the notes from the previous day’s lecture, and take care of any unfinished assignments. ◦ Attend the lecture. ◦ Attend the lab section. ◦ Do your homework. You will want to plan on staying on campus for this, as your homework will often require using the CD-ROM. ◦ Do the CD-ROM assignments. ◦ Do the Reading assignments. This probably seems like a lot of work, and it is. This is because we need to cover 15 weeks of material in 4 weeks during Maymester. Completing the course will not be easy, but I will try to make it as good an experience as I can....
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This note was uploaded on 11/08/2009 for the course ISYE 2028 taught by Professor Shim during the Spring '07 term at Georgia Tech.

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intro - Introductory Statistics Notes Jamie DeCoster...

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