Download MTH 265 Elementary Statistics

Last Revision: Fall 2016-2017
SYLLABUS
MTH 265
3 Semester Credit Hours - B
I.
MTH 265 Elementary Statistics I
3 Contact Hours
Course Description
This course provides an introduction to methods of statistics, including the following
topics: sampling, frequency distribution, measure of central tendency, graphic
representations, reliability, hypothesis testing, probability, permutations, combinations,
binomial theorem, random variables, and distributions may be included.
II.
Prerequisite
The prerequisite for MTH 265 is MTH 100 or appropriate placement score.
III.
Course Textbooks, Manuals, or Other Required Materials
Triola, Mario F., Elementary Statistics Using the TI83/84 Plus Calculator, 4th edition,
bundled with MyMathLab. Boston: Pearson/Addison Wesley, 2015.
IV.
Course Learning Outcomes
A.
B.
C.
D.
E.
F.
G.
H.
V.
The student will be able to present the data from a sample in table or graph form.
The student will be able to determine the measures of central tendency of a
sample.
The student will be able to determine and have an understanding of the measures
of variation.
The student will have a basic understanding of the laws of theoretical probability
including binomial probability and normal probability.
The student will be able to use technology to discuss a sample.
The student will have a deep understanding of the normal curve and its function.
The student will begin to understand the concepts of inferential statistics.
The students will use computer technology, including but not limited to, Stat Disk
and Stat Crunch.
Outline of Course Topics
A.
Describing, exploring, and comparing data
1.
Frequency tables
2.
Pictures of data
3.
Measures of central tendency
4.
Measures of variation
5.
Measures of position
B.
C.
D.
E.
F.
G.
H.
VI.
Methods of Instruction
A.
B.
C.
D.
E.
VII.
6.
Exploratory data analysis
Probability
1.
Fundamentals
2.
Addition rule
3.
Multiplication rule
4.
Probabilities through simulations
5.
Counting
Probability Distributions
1.
Random variables
Binomial experiments
Mean, variance, and standard deviation for the binomial distribution
The Poisson Distribution
Normal probability distributions
1.
The standard normal distribution
2.
The nonstandard normal distribution
3.
The Central Limit Theorem
4.
Normal approximation to binomial probability
Estimates and sample size
1.
Estimating population mean: large samples
2.
Estimating population mean: small samples
3.
Estimating population proportion
4.
Estimating population variance
Lectures
Class discussion
Computer/Internet tutorials
Video tutorials
Individual instruction (instructor and tutors)
Evaluation and Assessment
The course grade will be determined by the following methods:
A.
Written and oral quizzes
B.
Written exams
C.
Oral presentations (individual and/or group)
D.
Homework
E.
Class participation
F.
Projects
G.
Computer activities
H.
Comprehensive final exam
I.
The individual instructor and/or department will determine grades based upon the
following: A=90–100%, B=80–89%, C=70–79%, D=60–69%, and F=below 60%.
VIII. Attendance
Students are expected to attend all classes for which they are registered. Students who are
unable to attend class regularly, regardless of the reason or circumstance, should
withdraw from that class before poor attendance interferes with the student’s ability to
achieve the objectives required in the course. Withdrawal from class can affect eligibility
for federal financial aid.
IX.
Statement on Discrimination/Harassment
NACC and the Alabama State Board of Education are committed to providing both
employment and educational environments free of harassment or discrimination related to
an individual’s race, color, gender, religion, national origin, age, or disability. Such
harassment is a violation of State Board of Education policy. Any practice or behavior
that constitutes harassment or discrimination will not be tolerated.
X.
Statement of Adherence to ADA Guidelines
Instructors will adhere to the Americans With Disabilities Act and/or Section 504 of the
Rehabilitation Act (1973) and will publish the following statement on course outlines
given to students at the beginning of each semester: “Any individual who qualifies for
reasonable accommodations under the American With Disabilities Act or Section 504 of
the Rehabilitation Act (1973) should notify the instructor immediately.”