Houston Community College
Northwest College
Math Department
Instructor : Hung Q. Dam
Phone : 832-798-5983
Spring 2016
CRN: 89012
Math 1342 : Statistics
Jan 19-May 10 (5:30 pm-Final)
TTh 5:30 - 7:00 pm- Room 382
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
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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:
Course average
=
( T1 + T2 + T3 + F ) ( 0.25 )
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.
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COURSE CALENDAR, STATISTICS, SPRING 2016
SESSION DATE
TOPICS
SECTIONS
WEEK # 1
M Jan 19, 2016
Variables and types of data
1.2
W Jan 21
Data collection and sampling techniques
1.3
WEEK # 2
M Jan 26
Observational and Experimental Studies
1.4
W Jan 28
Organizing data
2.1
WEEK # 3
M Feb 02
Histograms, Frequency Polygons, Ogives
2.2
W Feb 04
Other types of graphs
2.3
WEEK # 4
M Feb 09
Measures of Central Tendency
3.1
W Feb 11
Mesures of Variation
3.2
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COURSE CALENDAR, STATISTICS, SPRING 2016
WEEK # 5
M Feb 16
Major Exam # 1
W Feb 18
Measures of Position
3.3
WEEK # 6
M Feb 23
Sample Space and Probability
4.1
W Feb 25
The Addition Rules for Probability
The Multiplication Rules for Probability
4.2
4.3
WEEK # 7
M Feb 01
The Counting Rules used in Probability
4.4
4.5
W Mar 03
The Discrete Probability Distributions
Mean, Standard Deviaton, and Percentile Rank in Discrete
Probability Distributions
5.1
5.2
WEEK # 8
M Mar 08
The Binomial Distribution
5.3
W Mar 10
The Normal Distributions
6.1
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COURSE CALENDAR, STATISTICS , SPRING 2016
SPRING BREAK: MARCH 10 - MARCH 20
WEEK # 9
M Mar 22
Major Exam # 2
W Mar 24
The Normal Approximation to the Binomial Distribution
(Applying the Continuous Normal Distribution to Dicrete Binomial
Distrbutions)
6.2
6.4
WEEK # 10
M Mar 29
W Mar 31
Confidential Intervals for Means of a large samples
(n = 30 or more data)
Confidential Intervals for Means of small samples
(n = 29 or less data)
7.1
7.2
WEEK # 11
M Apr 05
Confidential Intervals for Proportions of a sufficiently large
sample (n > 5/p and n > 5/(1-p))
Confidence Intervals for Standard Deviations
7.3
7.4
W Apr 07
WEEK # 12
M Apr 12
Hypothesis Testing 1: z-test for Means
8.2
8.3
Hypothesis Testing 2: t-test for Means
W Apr 14
Hypothesis Testing 3: z-test for Proportions
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8.4
COURSE CALENDAR, STATISTICS, SPRING 2016
WEEK # 13
M Apr 19
W Apr 21
Major Exam # 3
2 - test for Standard Deviations
8.5
WEEK # 14
M Apr 26
Scatter plots and Correlation
10.1
W Apr 28
Regression amd Line of Best Fit
10.2
WEEK # 15
M May 03
Review for Final Exam,
covering all course objectives
W May 05
Review for Final Exam,
covering all course objectives
WEEK # 16
M May 10
Final Exam from 5:30 pm to 7:00 pm
covering all course objectives
SPRING 2016 SEMESTER ENDS
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