Martha Knight

SYLLABUS MS 204 BASIC STATISTICS Fall, 2008

INSTRUCTOR: Mrs. Martha Knight
OFFICE: 241 Ayers Hall
OFFICE PHONE: 782-5118
E-MAIL: mknight@jsu.edu

OFFICE HOURS: (Hours)

PREREQUISITE: MS 108 Exploring Mathematics, MS 110 Finite Math, or MS 112 College Algebra or satisfactory score on ACT/SAT or the department placement test

TEXTBOOK: A First Course in Statistics, McLave & Sincich, 10th Edition, 2009, and a Basic Statistics Lab Manual (to be sold in class)

ADDITIONAL MATERIALS: Storage Device (floppy diskette, flash drive, or CD) and a calculator

COURSE CONTENT: 1.1-1.6, 2.1-2.8, 2.10, 3.1, 3.7, 4.1-4.9, 5.1-5.3, 6.1-6.4, 9.1-9.2, 9.6

COURSE OBJECTIVE:
A. To introduce numerical descriptive methods, the axioms of probability, random variables, statistical inference, point and interval estimation, and hypothesis testing and inferential statistics from a non-calculus view.

B. To introduce probability and probability distribution.

C. To introduce a compiler-based statistical package.

EXAMINATIONS AND GRADING:
Homework................100 Points
Lab Assignments.......100 Points
Three Exams............250 Points
Project.....................50 Points
Final Exam...............200 Points
Total Points...........700 Points

630-700 Points...A
560-629 Points...B
490-559 Points...C
420-489 Points...D

Homework is due on the day scheduled at the beginning of class. No late homework will be accepted unless approved by the instructor. The same policy will apply to lab assignments. Lab sessions will be in room 361.

ATTENDANCE: Class attendance is very important and you are urged to be present for each session to successively pass and obtain maximum benefit from this course. Statistics have definitely shown that grades improve with better attendance. Students must attend 80% of the class meetings. Absences are counted from the first day, regardless of when a student registers. If you are tardy, please be sure to check with me after class since a tardy will be counted as an absence if not removed. Any student who does not attend at least 80% of the class meetings will receive a F grade for the course. I also urge you to be prepared when you come to class. Maximum learning comes from adequate preparation.

COURSE POLICY: If you miss taking a scheduled exam, then you may take a make-up exam if you have a legitimate reason for missing the exam: sickness or an emergency, participation in a scheduled University event of which the instructor has been given prior notice, or other reasons with instructor approval prior to the exam. It is the responsibility of the student to request a make-up exam. If a computer lab session is missed, it will also be the student's responsibility to make-up the session. Students must adhere to the University policy for academic honesty as specified in the JSU Student Handbook. Any student receiving a failing grade on any assignment or exam is urged to come by my office and talk with me. Special accommodations for this course (school events, personal crises, any person qualifying for reasonable accommodations under The Americans with Disabilities Act or Section 504 of the Rehabilitation Act of 1973, etc.) should be addressed to me as soon as possible. If you must leave early during any class, please let me know before class. There will be no profanity used in the classroom. Please refrain from using such language. All students are expected to attend class fully prepared with appropriate materials and all devices which make noise turned to the off position (e.g., cellular phones, pagers, personal stereos, etc.). Please refrain from text messaging in class. Any student behavior deemed disruptive by the instructor will result in expulsion of the student from the classroom, with an absence for the day and possible disciplinary action. No electronic equipment (including cell phones) will be allowed during an exam. You must use your own calculator. All caps should be removed during exams. No one may leave the room during an exam.

Homework Set One

Homework Set Two

Homework Set Three

Homework Set Four

Sample Project

Sample Data

 

COURSE OUTLINE:

  Sections Suggested Problems

CHAPTER ONE

Statistics, Data, and Statistical Thinking

CHAPTER TWO

Methods for Describing Sets of Data		 1.1-1.6

2.1

2.2

2.3

2.4

2.5

2.6

2.7

2.8

2.10

Supplementary Exercises

Exam One		 1.1-1.10,1.12,1.13,1.14,1.15,1.21,1.25,1.31

2.4,2.5(a-c),2.9,2.14

2.21,2.22,2.24,2.25,2.28,2.31

2.42,2.45

2.46-2.51,2.53,2.56,2.59,2.66(a,b)

2.69,2.70,2.73-2.75(a,b),2.80(d)

2.87-2.90,2.95,2.97

2.103-2.106,2.109,2.114

2.118-2.123,2.125,2.126(Use Minitab),2.129,2.135




2.151,2.152,2.157,2.161(a,b,d),2.162,2.164(a,b),2.168(a,b),2.172,2.182,2.188,2.190

Chapters 1, 2, and Modules from Minitab

CHAPTER NINE

Simple Linear Regression
9.1

9.2

9.6

9.7
9.5,9.6,9.9,9.10

9.14,9.17



9.66,9.67,9.69,9.72,9.75(a)

CHAPTER THREE

Probability		 3.1

3.7		 3.1-3.3,3.5,3.6,3.10-3.13,3.17-3.19,3.26,3.27,3.31

3.94,3.98(a,b),3.99(a,b)

CHAPTER FOUR

Random Variables and Probability Distributions		 4.1

4.2

4.3

4.4

4.5

4.8

4.9

Supplementary Exercises

Exam Two		 4.1-4.4,4.6,4.7

4.17-4.22,4.24,4.32

4.41,4.43,4.45,4.47-4.49,4.53



4.64,4.65,4.67,4.68,4.71-4.73,4.84,4.87

4.131,4.133

4.140-4.142,4.144,4.146,4.148,4.153,4.154,4.156,4.161

4.162,4.165-4.172,4.175,4.176,4.180,4.185


Chapters 3, 4, 9, and Modules from Minitab

CHAPTER FIVE

Inferences and Estimation with Confidence Intervals		 5.2

5.3
Supplementary Exercises		 5.2-5.9,5.11,5.13,5.19

5.26,5.28(a-c)-5.30

5.83,5.84,5.86,5.88(a),5.97,5.101

CHAPTER SIX

Inferences and Estimation
Tests of Hypothesis		 6.1

6.2

6.3

6.4

Supplementary Exercises

Exam Three

Final Exam
6.1-6.4,6.6,6.8,6.11,6.15

6.18,6.21,6.25,6.30,6.34

6.37-6.41,6.45,6.47

6.54,6.55,6.58,6.59,6.63

6.103,6.109,6.111,6.112(a-d),6.114,6.116,6.119,6.124,6.127

Chapters 5, 6, and Modules from Minitab

Comprehensive--All Chapters 1-6,9, and Modules from Minitab