Math 201 Course Syllabus                                                                      Instructor:  Craig Lister

Days:   Monday & Wednesday

Time:   6:00 PM – 8:25 PM

Prerequisite: Successful completion of Math 154 with a grade of “C” or better or the appropriate skill demonstrated through the math assessment process.

Course Description: This course covers elements of probability, frequency distributions, graphs and measures of central tendency, function of random variables, probability distributions, sampling, hypothesis testing, confidence intervals, regressions analysis, and analysis of variance (ANOVA).

Text: Understandable Statistics, by Brase / Brase.

Grading Scale:     A       90 – 100%

                               B       80 – 89%

                               C       70 – 79%

                               D       60 – 69%

                               F       59% and below

Grade Breakdown:

Exams:                          45%

Homework:                   25%

Final:                             30%

Exams: There will be 3 exams.  Students are to bring calculators, pencils or pens, and paper to each exam.  A one page (standard size) front and back formula sheet may be used during 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.  If all homework assignments are turned in for the quarter then the exam with the lowest score will be dropped.

Homework: Students are encouraged to collaborate with each other on the homework.  They may also gain assistance in the Gateway Math Center and with the instructor.  Calculators and computers can also be of assistance.  Homework will be collected each week during the last class meeting of that week.  If all homework is completed and collected on schedule, the student may drop her/his lowest exam score.

Final: There will be a comprehensive final exam given on Wednesday, Dec 3 at 6:00 PM.  Students may bring a two-page formula sheet use during the final exam. 

Extra Credit: Any student who has turned in every homework assignment may elect to work on an extra credit assignment or project that will count as additional points towards either a midterm or the final.

Attendance: If a class is missed, it is the responsibility of the student to check what was missed.  If a student is to miss an exam or a quiz, it is the responsibility of the student to contact the instructor prior to the exam or quiz and make arrangements for taking the exam or quiz. 

MATH 201

Elements of Probability and Statistics

Schedule and Homework:

9/19

1.1 What is Statistics?                                                   5,8,10

2.1 Random Samples                                                    17

2.3 Histograms and Frequency Dist                               3

2.4 Stem-and-Leaf Displays                                         7

9/24

3.1 Measures of Central Tendency                                5,15

3.2 Measures of Variation                                 2,8

3.3 Mean and Standard Deviation of Group Data          9

3.4 Percentiles and Box-and-Whisker plots                   7         Due 10/1

9/26 

4.1 What is Probability                                                 12

4.2 Some Probability Rules- Compound Events            4,9,14,27

4.3 Trees and Counting Techniques                               3,12

10/1

5.1 Random Variables and Prob. Dist.                          1,10

5.2 Binomial Probabilities                                              5,14

5.3 Additional Properties – Binomial                             14

5.4 Poisson Probability Distribution                               9        Due 10/8

10/3

            Exam I

10/8

6.1 Graphs of Normal Probability Distributions  6,10

6.2 The Standard Normal Distribution               3,6

6.3 Areas under any Normal Curve                               21,28,35

10/10

7.1 Sampling Distributions                                            

7.2 The Central Limit Theorem                         6,9

8.1 Estimating Mean with Large Samples                      6,13

8.2 Estimating Mean with Small Samples                       8

8.3 Estimating Proportion in the Binomial Dist    4,9

8.4 Choosing Sample Size                                            5        Due 10/17

10/15

9.1 Intro to Hypothesis Testing                                  5,8

9.2 Tests involving the Mean (Large samples)   1,4,12

10/17

9.3 The p-value in Hypothesis Testing               6,9

9.4 Tests involving the Mean (Small samples)    7,12

9.5 Hypothesis Test For a Proportion                           14      Due 10/29        

10/22

            Lab Day and Review

10/24

Exam II

10/29

10.1 Paired Data and Scatter Diagrams             11

10.2 Linear Regression and Confidence Bounds            1,9,14

10/31

10.3 The Linear Correlation Coefficient             8

10.4 Testing the Correlation Coefficient             2,5,15

11/5

            11.1 Chi Square: Tests of Independence                       4,9

11.2 Chi Square: Goodness of Fit                                 3

11/7

11.3 Testing and Estimating a Single Variance   5      Due 11/26

11/12

            Veterans Day - OFF

11/14

            Lab Day and Review

11/19

            Exam III

11/21

            Lab Day

11/26

            Comprehensive Review- (Last Day to turn in Homework)

11/28

            Final Projects Due and Review

12/3

            Final Exam