Statistics (MATH 89011)
Houston Community College Spring 2016
Northwest College CRN: 89011
Math Department Math 1342 : Statistics
Instructor : Hung Q. Dam Jan 20-May 09 (5:30 pm-Final)
Phone : 832-798-5983 MW 5:30 - 7:00 pm- Room 321
COURSE SYLLABUS, STATISTICS, SPRING 2016
Course intent: This course provides a detailed study of:
(a) Descriptive Statistics
(b) Probability and Counting Rules
(c) Measures of Central Tendency: Mean (average)
(d) Measures of Variation: Standard Deviation (quarter of range)
(e) Measures of Position: Percentage and Percentile (proportion)
(f) Inferential Statistics: Hypothesis testing
Course Objectives: Upon completion of this course, a student should understand:
(1) The Nature of Probability and Statistics
(2) The Frequency Distributions and Graphs
(3) The Data Description
(4) The Probability and Counting Rules
(5) The Discrete Probability Distributions
(6) The Normal Distribution
(7) The Confidence Intervals and The Sample Sizes
(8) The Hypothesis Testing
(9) The Correlation and The Regression
Textbook : ELEMENTARY STATISTICS, by Bluman, 9th edition, Mc Graw Hill Publishing
Resource Materials: Any student enrolled in Math 2415 at HCCS has access to the Academic Support Center where they may get additional help in understanding the theory or in improving their skills. The Center is staffed with mathematics faculty and student assistants, and offers tutorial help, video tapes and computer assisted drills. Also available is a Student’s Solutions Manual which may be obtained from the Bookstore.
Suggested Methods: Students are encouraged to work the review exercises at the end of each chapter. Also, they are encouraged to visit the Academic Support Center at their respective college
COURSE SYLLABUS, STATISTICS, SPRING 2016
Attendance : Regular attendance is extremely important in mathematics classes. You may be dropped for excessive absence (more than 12.5% of the class time, or 2 weeks or the equivalent). Veterans with excessive absence will be dropped with an official drop form by the last drop day. If you should decide to withdraw from the course, initiate a student drop in the office. Should your name remain on the roll at the end of the term, you must receive a grade.
Major Exams: There will be 3 major exams. Each major exam score will count for 25% of the final course average.
Final Exam: The final exam will cover all the course material. The final exam score will count for 25% of the final course average.
Grading Formula: The grading formula is:
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Course average = ( T1 + T2 + T3 + F ) ( 0.25 )
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where T1, T2, T3 are the 3 major exam scores, and F the final exam score.
Americans With Disabilities Act (ADA): Persons needing accommodations due to a documented disability should contact the ADA counselor for their college as soon as possible.
Departmental Policies:
1. The final exam is comprehensive and questions on it can deal with any of the course objectives.
2. Each student should receive a copy of the syllabus for the course on the first day of class.
3. A comprehensive final examination must be given. The final examination must be taken by all students.
4. All major exams should be announced clearly in advance in the course syllabus.
5. The final exam must count for at least 25% and at most 40% of the final grade.
6. The final course average will be used in the usual manner. Grades will be assigned as follows:
Course average : Grade :
90 - 100 A
80 - 89 B
70 - 79 C
60 - 69 D
Below 60 F
7.Either an open book or a take-home major exam may be given at the discretion of the instructor.
8. Review sheets (if any) should be comprehensive and the student should not feel that classroom notes, homeworks and major exams may be ignored in favor of the review sheets for examinations.
COURSE CALENDAR, STATISTICS, SPRING 2016
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SESSION DATE TOPICS SECTIONS
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WEEK # 1
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M Jan 18, 2016
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Martin Luther King Holiday |
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W Jan 20 |
Variables and types of data Data collection and sampling techniques |
1.2 1.3
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WEEK # 2
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M Jan 25
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Observational and Experimental Studies
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1.4
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W Jan 27 |
Organizing data
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2.1 |
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WEEK # 3
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M Feb 01 |
Histograms, Frequency Polygons, Ogives |
2.2
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W Feb 03
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Other types of graphs |
2.3 |
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WEEK # 4 |
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M Feb 08 |
Measures of Central Tendency
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3.1 |
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W Feb 10 |
Mesures of Variation
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3.2 |
COURSE CALENDAR, STATISTICS, SPRING 2016
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WEEK # 5
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M Feb 15 |
Major Exam # 1
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W Feb 17
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Measures of Position |
3.3 |
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WEEK # 6 |
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M Feb 22 |
Sample Space and Probability
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4.1 |
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W Feb 24
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The Addition Rules for Probability
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4.2 4.3 |
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WEEK # 7
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M Feb 29
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The Counting Rules used in Probability |
4.4 4.5 |
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W Mar 02
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The Discrete Probability Distributions Mean, Standard Deviaton, and Percentile Rank in Discrete Probability Distributions |
5.1 |
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WEEK # 8
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M Mar 07 |
The Binomial Distribution
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5.3 |
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W Mar 09
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The Normal Distributions
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6.1 |
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COURSE CALENDAR, STATISTICS , SPRING 2016
SPRING BREAK: MARCH 10 - MARCH 20
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WEEK # 9 |
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M Mar 21 |
Major Exam # 2
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W Mar 23
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The Normal Approximation to the Binomial Distribution (Applying the Continuous Normal Distribution to Dicrete Binomial Distrbutions)
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6.2 6.4 |
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WEEK # 10
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M Mar 28 |
Confidential Intervals for Means of a large samples |
7.1 |
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W Mar 30 |
Confidential Intervals for Means of small samples |
7.2 |
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WEEK # 11
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M Apr 04 |
Confidential Intervals for Proportions of a sufficiently large sample (n > 5/p and n > 5/(1-p)) |
7.3 |
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W Apr 06 |
Confidence Intervals for Standard Deviations |
7.4 |
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WEEK # 12
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M Apr 11 |
Hypothesis Testing 1: z-test for Means
Hypothesis Testing 2: t-test for Means
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8.2 8.3 |
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W Apr 13 |
Hypothesis Testing 3: z-test for Proportions
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8.4 |
COURSE CALENDAR, STATISTICS, SPRING 2016
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WEEK # 13 |
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M Apr 18
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Major Exam # 3 |
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W Apr 20 |
c2 - test for Standard Deviations
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8.5 |
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WEEK # 14 |
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M Apr 25
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Scatter plots and Correlation |
10.1 |
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W Apr 27 |
Regression amd Line of Best Fit |
10.2 |
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WEEK # 15 |
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M May 02 |
Review for Final Exam, covering all course objectives
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W May 04
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Review for Final Exam, covering all course objectives
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WEEK # 16 |
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M May 09 |
Final Exam from 5:30 pm to 7:00 pm covering all course objectives
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SPRING 2016 SEMESTER ENDS
MATH 1342 Spring 2016 (89011) Syllabus