Statistics Fall 2007. Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby...
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Transcript of Statistics Fall 2007. Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby...
![Page 1: Statistics Fall 2007. Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby 114 Office phone: 223-6207 Home phone: 392-8604 (before.](https://reader036.fdocuments.net/reader036/viewer/2022062315/5697c01a1a28abf838ccedf5/html5/thumbnails/1.jpg)
Statistics
Fall 2007
![Page 2: Statistics Fall 2007. Introduction2 Wed, Aug 22, 2007 Introduction Dr. Robb T. Koether Office: Bagby 114 Office phone: 223-6207 Home phone: 392-8604 (before.](https://reader036.fdocuments.net/reader036/viewer/2022062315/5697c01a1a28abf838ccedf5/html5/thumbnails/2.jpg)
Introduction 2Wed, Aug 22, 2007
Introduction
Dr. Robb T. Koether Office: Bagby 114 Office phone: 223-6207 Home phone: 392-8604 (before 11:00 p.m.) Office hours: 2:30-4:00 MWRF, 3:30 – 4:00 T
Other hours by appointment E-mail: [email protected] Web page:
http://people.hsc.edu/faculty-staff/robbk
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Introduction 3Wed, Aug 22, 2007
The Course
The class meets in Bagby 022 at 8:30 - 9:20 MWF and at 2:30 – 3:20 T.
The text for the course is Interactive Statistics, 3rd ed., by Martha Aliaga and Brenda Gunderson.
The web page for this course is at
http://people2.hsc.edu/faculty-staff/robbk/Math121
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Introduction 4Wed, Aug 22, 2007
Introduction
Syllabus Lectures Assignments Page xi – Interactive Exercises Page xvi – Graphing Calculator
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Introduction 5Wed, Aug 22, 2007
Grading
There will be Weekly quizzesThree testsA final exam
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Introduction 6Wed, Aug 22, 2007
Grading
In the final average, these will have the following weights:
Category Weight
Average of quizzes 30%
Average of the tests 50%
The final exam 20%
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Introduction 7Wed, Aug 22, 2007
Homework
The homework is the most important part of this course.
Learning mathematics requires gaining knowledge and understanding, but more importantly doing mathematics is a skill.
You should not expect to acquire a skill by listening to a lecturer talk about it. It takes practice.
Do all of the homework every day.
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Introduction 8Wed, Aug 22, 2007
Homework
More importantly, do not put off doing the homework until the night before the quiz.
You will not be able to learn that much material in one night.
Most importantly of all, do not put off doing the homework until the day before a test.
By then it is too late to learn it.
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Introduction 9Wed, Aug 22, 2007
Homework
At the beginning of each class meeting (except on Tuesdays), I will spend up to 10 minutes working one or two homework problems in detail from previous assignments.
You may request a problem that you would like to see worked.
Of course, outside of class, I will help you with as many problems as I can.
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Introduction 10Wed, Aug 22, 2007
Quizzes
Each Tuesday there will be a 10-minute quiz.
The quiz will contain 1 to 3 questions taken from the previous week's homework assignments.
The problems will be copied verbatim from the book.
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Introduction 11Wed, Aug 22, 2007
Tests
The test schedule is as follows:
Test Date Coverage
#1 Fri, Sep 21 Chapters 1, 2, 3, 4
#2 Fri, Oct 19 Chapters 5, 6, 7
#3 Fri, Nov 16 Chapters 8, 9, 10, 11
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Introduction 12Wed, Aug 22, 2007
The Final Exam
The final exam will be cumulative. It will be given in this classroom at the time
stated in the exam schedule. Everyone must take it. It will not be rescheduled. Do not schedule a flight home before the
exam! You will lose your ticket.
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Introduction 13Wed, Aug 22, 2007
Attendance
Attendance will be checked at the beginning of each class.
Two late arrivals will be counted as one absence.
The only valid excuses for missing class are An illness which includes a visit to the Health Center
or a doctor An approved college activity A true emergency Any absence excused by the Dean of Students
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Introduction 14Wed, Aug 22, 2007
Attendance
Sending me an e-mail or leaving me a voice message does not excuse you from class.
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Introduction 15Wed, Aug 22, 2007
Attendance
When assigning final grades, attendance will be taken into account.
Absences Action
0 – 2 Grade bonus
3 – 5 Neutral
6 – 8 Grade penalty
> 8 Withdrawal
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Introduction 16Wed, Aug 22, 2007
Calculators
A calculator will be necessary for this course.
I strongly recommend the TI-83 or the TI-84.
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Introduction 17Wed, Aug 22, 2007
The Honor Code
Quizzes, tests, and the final exam are pledged.
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Introduction 18Wed, Aug 22, 2007
Classroom Etiquette
During a lecture, you are free to ask questions. It is polite to raise your hand first and wait to be
called on. You should not talk to other students while I am
talking. While working assigned problems in class, you
are free to talk to other students provided you are talking about the assigned problems.
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Introduction 19Wed, Aug 22, 2007
Classroom Etiquette
Do not make leave the room during the class. If necessary, use the bathroom before coming to
class. If you are thirsty, get a drink before class.
Do not sleep in class. Do not work on assignments from other classes
during class. Do not read the newspaper during class.
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Introduction 20Wed, Aug 22, 2007
Goals of this Course
To learn statistics.The theoretical basis of the statistical method.How to perform statistical tests.How to interpret statistics.
To become a more sophisticated thinker. To become a more sophisticated
consumer of information.
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Introduction 21Wed, Aug 22, 2007
Goals of this Course
To get you through your freshman year with a decent GPA.
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Introduction 22Wed, Aug 22, 2007
The Scientific Method
Formulate a theory. Collect some data. Summarize the results. Make a decision.
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Introduction 23Wed, Aug 22, 2007
The Scientific Method
Formulate a theory – Chapter 1. Collect some data. Summarize the results. Make a decision.
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Introduction 24Wed, Aug 22, 2007
The Scientific Method
Formulate a theory – Chapter 1. Collect some data – Chapters 2 – 3. Summarize the results. Make a decision.
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Introduction 25Wed, Aug 22, 2007
The Scientific Method
Formulate a theory – Chapter 1. Collect some data – Chapters 2 – 3. Summarize the results – Chapters 4 – 5. Make a decision.
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Introduction 26Wed, Aug 22, 2007
The Scientific Method
Formulate a theory – Chapter 1. Collect some data – Chapters 2 – 3. Summarize the results – Chapters 4 – 5. Make a decision – Chapters 9 – 14.
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Introduction 27Wed, Aug 22, 2007
The Scientific Method
Formulate a theory – Chapter 1. Collect some data – Chapters 2 – 3. Summarize the results – Chapters 4 – 5. Make a decision – Chapters 9 – 14. Theoretical underpinnings – Chapters 6 –
8.
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Introduction 28Wed, Aug 22, 2007
Formulate a Theory
We are wondering whether a particular die is fair.
That is, does each number occur just as often as every other number?
For example, if we roll the die 600 times, we expect to get each number 100 times.
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Introduction 29Wed, Aug 22, 2007
Formulate a Theory
Or do we?
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Introduction 30Wed, Aug 22, 2007
Formulate a Theory
The theory that the die is fair will be tested by posing it as a question with two competing answers.
Question: Does the distribution of observed rolls match what we would expect to see if the die were fair?
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Introduction 31Wed, Aug 22, 2007
Formulate a Theory
The possible answers (yes and no) are stated more precisely as two competing hypotheses:“Null hypothesis” The die is fair.
Any deviations from the expected observation are due entirely to chance.
“Research hypothesis” The die is not fair. Any deviations from the expected observations are
due to the bias in the die.
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Introduction 32Wed, Aug 22, 2007
Collect Some Data
So we roll the die 600 times and get the following results.
Number 1 2 3 4 5 6
Expected 100 100 100 100 100 100
Observed 95 106 89 97 97 116
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Introduction 33Wed, Aug 22, 2007
Two Possible Explanations
There is a discrepancy. Can it be explained by chance?
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Introduction 34Wed, Aug 22, 2007
Summarize the Results
We use the TI-83 or TI-84, and compute a special quantity:
2 = 4.56.
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Introduction 35Wed, Aug 22, 2007
Summarize the Results
We use the TI-83 or TI-84, and compute a special quantity:
2 = 4.56. So what?
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Introduction 36Wed, Aug 22, 2007
Summarize the Results
If the die really is fair, then statistical theory says that we expect this calculation to yield a value between 0 and 11.070, with the value expected to be very close to 5.
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Introduction 37Wed, Aug 22, 2007
Make a Decision
Since 2 is within this range, we conclude that the “null hypothesis” is correct:
The die is fair.
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Introduction 38Wed, Aug 22, 2007
An Important Question
Does this procedure prove that the die is fair?
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Introduction 39Wed, Aug 22, 2007
An Objection
Our antagonist was arguing that this die turned up 6’s too often.
He claims that our data supports his assertion.
How do we deal with that?
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Introduction 40Wed, Aug 22, 2007
Collect More Data
So we roll the die 6000 times and get the following results.
Number 1 2 3 4 5 6
Expected 1000 1000 1000 1000 1000 1000
Observed 945 983 1023 1015 1000 1034
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Introduction 41Wed, Aug 22, 2007
Collect More Data
This time we get 2 = 5.224. This is extremely close to the value that
the theory predicts for a fair die. At this point, we tell our antagonist to go
study statistics.