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Science Building Room 529
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(770)423-6098, e-mail: agadidov@kennesaw.edu
All emails should originate from the students’
netid.student.kennesaw.edu account or from their WebCT
account. Our e-mail system allows for email filtering software that blocks
certain domains, one of which could be your commercial email provider.
For more information on setup and use of your email account, go to
https://students.kennesaw.edu/email.
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MW 12:30pm- 2:00pm;
other times by appointment
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MW 2:00pm-3:15pm
in CL1005
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Probability and Statistics for Engineering and the
Sciences, sixth ed., by Jay L. Devore, Thomson Learning, ISBN
0-534-39933-9
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This course is designed to introduce the student to
probability and both descriptive and inferential statistics. Topics include: random
variables and probability distributions, expectation and variance of random
variables, properties of estimators, exploratory data techniques, confidence
intervals, hypothesis tests for population mean and proportion. STATDISK, or SAS and TI 83 Plus calculator will be used.
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Learning
outcomes
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1. Students should acquire
appropriate vocabulary (population, sample, census, parameter, statistic) and notation.
2. Students will be able to correctly plot and describe statistical data.
3. Students will be able to correctly interpret statistical plots.
4. Students will understand the importance of measures of center and
variation.
5. Students will understand basic probability concepts and be able to use
them accordingly.
6. Students will learn and understand the concept of random variable and its
probability distribution.
7. Students will know to distinguish between discrete and continuous
distributions and be able to apply the concepts to real- life problems.
8. Students will be able to build confidence intervals to estimate population
parameters such as means and proportions from statistical data.
9. Students will be able to perform hypothesis tests for population
parameters and appropriately interpret the results.
10. Students will be able to successfully use software to describe, analyze,
and perform inferential statistics.
11. Students will gain appreciation for the importance of statistics in
everyday life.
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Chapter 1: Overview and Descriptive Statistics:
basic concepts, mean, variance and standard deviation; exploratory data
analysis.
Chapter 2: Probability: properties of probability; counting
methods; conditional probability; independence.
Chapter 3: Discrete Distributions: discrete random variables; expected
value; the Bernoulli distribution, hypergeometric
and the Poisson distribution.
Chapter 4: Continuous Distributions: continuous random variables and
probability density functions; the Uniform, the Normal distribution, the
Gamma family of distributions.
Chapter 5: Joint Probability Distributions and Random Samples;
distribution of sums of random variables; random functions associated with
normal distributions; the Central Limit Theorem.
Chapter 6: Point estimation: general concepts.
Chapter 7: Confidence intervals: confidence intervals for means,
proportions and variances; sample size.
Chapter 8: Tests of Statistical Hypotheses; tests for means,
proportions and variances; tests of the equality of two normal distributions.
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Homework will be assigned and be part of the grade. I
encourage you to work the problems since this is the best way to prepare for
this course. Check my homepage http://math.kennesaw.edu
for updates on the course. You are also encouraged to attend the weekly
talks, and monthly Math Nights organized by the Mathematics Department. At
these talks you will see researchers presenting their work, students
presenting a Capstone experience in general a wide array of applications of
Mathematics. For each talk you attend there will be a 2 point bonus added to
your exam of choice.
Your grade will be based on your performance on homework
assignments, class participation, quizzes and tests. There will be a quiz
almost every week, three semester exams and a final comprehensive exam.
Quizzes will be graded on a scale of 0 to 10 and only the best ten grades
will count toward your final grade. The final is scheduled on Monday, May 3,
2:00 pm- 4:00pm.
Make-up quizzes or tests will not be given unless there are exceptional
circumstances. If you must miss a test, you should notify me in writing
before the scheduled test time.
Grades will be assigned as follows:
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Quizzes
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100p
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A
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90% and above
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HW
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100p
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B
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between 80% and 90%
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Exam 1
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100p
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C
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between 70% and 80%
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Exam 2
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100p
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D
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between 60% and 70%
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Exam 3
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100p
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F
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below 60%
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Final exam
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125p
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Total
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625p
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Tentative schedule of exams: Exam 1: Feb. 15 , Chapters 1-3
Exam 2: Mar. 15, Chapters 4-5
Exam 3: Apr. 17, Chapters 6-8
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Every KSU student is responsible for upholding the provisions
of the Student Code of Conduct,
as published in the Undergraduate and Graduate Catalogs. Section II of the
Student Code of
Conduct addresses the University’s policy on academic honesty,
including provisions regarding
plagiarism and cheating, unauthorized access to University materials,
misrepresentation/falsification
of University records or academic work, malicious removal, retention, or
destruction of library
materials, malicious/intentional misuse of computer facilities and/or
services, and misuse of
student identification cards. Incidents of alleged academic misconduct will
be handled through the established procedures of the University Judiciary
Program, which includes either an “informal” resolution by a
faculty member, resulting in a grade adjustment, or a formal hearing
procedure, which may subject a student to the Code of Conduct’s minimum
one semester suspension requirement.
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Withdrawal
policy
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Students choosing to
withdraw from this course without academic penalty must do so by March 3, 2006. Withdrawal forms can be obtained from the
Office of the Registrar. The completed form must be approved by the
Registrar. A student ceasing to attend class and completing course
requirements will be assigned a failing grade if official withdrawal has not
been completed. There is a new University policy on the total number of
withdrawals a student may have.
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