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MATH 201 ELEMENTS of STATISTICS and PROBABILITY Monday Wednesday and Friday 12:30 to 2:10 PM Room D108 5 UNITS Instructor Larry Green Office Phone Number 541-4660 Extension 341 Internet
Required Text Understandable Statistics Ninth Edition by Brase/Brase Course Description This course will cover data analysis including probability, distributions, sampling, hypothesis testing, confidence intervals, regression analysis, and nonparametric analysis. Student Learning Outcomes
Prerequisite A grade of C or better in Math 154 or an equivalent class within the past two years, or a satisfactory score on the assessment test. Grading Policy Your letter grade will be based on your percentage of possible points. A 90 -- 100% C 70 -- 79% B 80 -- 89% D 60 -- 69% Homework: ................................................100 points Exam 1: April 28......................................150 points Exam II: May 21 .....................................150 point Exam III: June 22.................................. 150 points Project 1: April 21 .............................. 100 points Project 2: June 7 ................................... 100 points
Final Exam: June 23 ............................ 250 points
Exam Policy Students are to bring calculators, pencils or pens, and paper to each exam. Grading will based on the progress towards the final answer, and the demonstration of understanding of the concept that is being tested, therefore, work must be shown in detail. Any student who cannot make it to an exam may elect to take the exam up to two days before the exam is scheduled. Without a proven medical excuse, a 10% per day penalty will be given for each day the exam is taken late. If all homework is completed and no more than three homework assignments are scored less than or equal to 5 points, then the midterm with the lowest score will be dropped.
Homework Policy Homework is due either at the end of class or by 4:00 PM in my office. The use of computers or calculators is strongly recommended. Also, feel free to consult a fellow classmate, a tutor, your instructor, or anyone else for assistance on the homework. Homework that is turned in within one week of the due date will be counted as half credit. Homework may be turned later than one week after the due date, but points will not be awarded.
Daily Quizzes The first five minutes of each class, there will be a quiz that covers the main point from the previous lecture. Each quiz will count as 20% of the homework grade. Quizzes cannot be made up and will not be counted unless the corresponding homework is turned in on time.
Projects Three projects will be created for this class. For Project 1, students will collect quantitative data and use a computer to display each of the charts discussed in class. Click here for a video explanation of StatCrunch for Project 1. For Project 2, students will conduct a survey and construct a confidence interval and perform a hypothesis test. Click here for a video explanation of StatCrunch for Project 2. Each project will include the computer results and a narrative describing data collection, assumptions made, background information, how the data was analyzed, and conclusions. Unless specifically stated, all results must be computed using a computer and the computer generated results must be included with the project. The projects should be typed, double spaced, and have 12 point font. Students are to work in pairs. If you cannot work with a partner, then speak to your instructor about the possibility of working by yourself or as a trio. Rubric for the Project Grades. Larry will be happy to look at a rough draft of your paper if you can bring or email it to him at least 24 hours before it is due. After receiving feedback, you can ask more questions, but only one rough draft of the paper will be reviewed by Larry.
OFFICE HOURS: Monday ............................ 11:00 to 12:00 MSC Tuesday........................... 9:00 to 10:00 MSC Wednesday .................... 11:30 to 12:30 A210 Thursday........................ 12:00 to 1:00 A210 Friday........................ 11:30 to 12:30 A210 CALCULATORS: A calculator with built-in one and two variable statistics functions is required for this class. The TI-30X IIS is one such calculator that is inexpensive.
LEARNING DISABILITIES: If you have a learning disability, be sure to discuss your special needs with Larry. Learning disabilities will be accommodated. TUTORING: Tutors are available at no cost in A 201 (The Math Success Center). A WORD ON HONESTY: Cheating or copying will not be tolerated. People who cheat dilute the honest effort of the rest of us. If you cheat on a quiz or exam you will receive an F for the course, not merely for the test. Other college disciplinary action including expulsion might occur. Please don’t cheat in this class. If you are having difficulty with the course, please see me.
HOMEWORK ASSIGNMENTS Lecture will always be geared towards an explanation of the topics that will be covered on the upcoming homework assignment. The quizzes shown are from last year. New quizzes will be given. Date Section Topic Exercises 4-5 Introductions Current Event
4-7
1.1 What is
Statistics?
2,6,9,12
4-9
1.3 Experimental Design
1,3,4,7 4-12 2.2
Bar, Circle, and Time Plots 1,7,11 4-14 3.1
Mode, Median, and Mean
3,7,13 4-19 4.2
Probability Rules
2,5,7,14,18,22,25 4-21 4.3
Trees and Counting
5,9,12,24,25,26 4-23 5.1
Random Variables and Distributions 1,6,11,14 4-26 5.2
Binomial
Probabilities
5,6,1015,18 4-28 Exam 1 Chapters 1,2,3,4, 5.1, 5.2 4-30 Return Exam 1 Current Event 5-3 6.1
The Normal Distribution 2,3,9,10,14,15 5-5 6.3 Area Under a General Normal Curve
3,10,13,16,19,26,36,37 5-7
7.2
The Central Limit
Theorem
1,5,8,13,16 5-10 7.3
Distributions for Proportions
3,6,10,11,12 5-12 8.1
Estimating
m (s
Known)
2,4,5,6,7,11,15,16 5-14 8.2 Estimating m (s Unknown) 7,8,9,13,16,19 5-17
8.3
Estimating
p
3,4,6,9,12,16,19
5-19 8.4
Two Sample
Differences
5,6,9,11,14,22
5-21 Exam II
Chapters 6,7,8 5-24 Return Exam II
5-26 9.1
Hypothesis
Testing
2,4,7,10,13
5-31 Memorial Day Holiday
6-2 9.3
Hypothesis Tests for a
Proportion 1,4,5,7,11,14
6-4 9.5
Independent Samples
3,10,15,24,26,27 6-7 10.1
Paired Data and Scatter Plots
and Linear Regression 2,4,9,10,13,14,16 6-9 10.2 Correlation
7,11,14 (Handout) 6-11 11.2
Goodness of Fit 4,5,8,15,16 6-14 11.1 Chi-Square
3,4,5,8,10,13 6-16 11.4
Comparing
Variances 7,10,11 6-18 6-22 Exam III Chapter 9, 10.1, 10.2, 10,3, 11.1, 11.2,11.4, 11.5
6-23 Comprehensive Final Exam
12:00 - 1:50 PM HOW TO SUCCEED IN A MATH CLASS
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