Download Stat 201

Stat 201
Introduction to Probability and Statistics I
(3-0) 3 Credits
2015-2016 SPRING Semester
Instructor: A.Turan Aral
Office: Math Dept. Room Number 415
E-mail:[email protected]
Tlf : 5868580
Course Outline : : Basic Definitions, Tables and Graphs, Central Tendency / Dispersion
Measures, Probability Theory, Basic Probability Rules, Conditional Probability, Discrete
and Continuous Random Variable, Concept of Expected Value, Probability Function,
Binomial Distribution, Poisson Distribution, Normal Distribution.
Text Book : A D.H. Sanders, R. K. Smidt, ‘ Statistics. A First Course ‘
References : A.B. Bluman ‘Elementary Statistics. A Step by step Aproach ‘
J.S. Milton, P.M. Mc Teer, J.J. Corbet, ‘Introduction to Statistics’
Morris H. De Groot, ‘Probability and Statistics’
Terry Sincich, ‘Business Statistics by Examples’
Attendence: You must attend classes and tests. Attendence ( including all kinds of
excuses and health reports ) MUST NOT BE LESS THEN 70 %. Otherwise you
are not allowed to take final exam
Lectures: You are expected to keep silence unless you have a question. You are
encouraged to ask questions as soon as something is unclear to you.
Even if you have the textbook, you must take lecture notes.
Exams: Two mid-term exams and a final exam will be given. Also two quiz’s scores
will be assigned during the semester. No make-up exams will be given unless proper
documentation for the absence is received. (Excuse must be approved by the university)
Academic Dishonesty: No cheating during the exams and in the HW assignments are
allowed. Cheating includes but not limited to both providing and copying information
during the exams and in homework assignments. It is considered as a discipline
violation. Hence in case of cheating, both parts will certainly get a score of zero from
the corresponding exam and homework and disciplinary action will be applied.
Midterm Exam Dates :
Mid term 1 :
05 april 2016
Mid term II :
03 may 2016
Grading Policy: Final score is counted according to the following scheme:
Quizzes
10 %
MT Exams
(25+25) %
Final Exam
40 %
You will have a ten-day period after the scores are announced for objection. Catalog
system (shown in the following table) will be used while grading the scores.
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COURSE CHART
Week
1
2
Date
Feb 15-19
2016
Feb 22-26
Details of the Main Topics
Basic Definitions, Summarizing Data, Frequency distribution
Tables, Cumulative/ Relative Frequency Tables, Graphing
Frequency Distribution Table
Representing data by graphs, Histogram, ogive, stem and leaf
display
5
2016
Mar 29-04
2016
Mar 07-11
2016
Mar 14-18
2016
6
Mar 21-25
2016
Classical Probability, Counting Techniques, the fundamental
Rule of Counting, Permutation and Combination
7
Apr 28-01
2016
Representation of probability with Venn Diagrams,
Multiplication and Addition Rules,
8
Apr 04-08
2016
Conditional Probability, Contingency Table, Bayes Approach
9
Apr 11-15
2016
Discrete random variables, Probability Distribution, Numerical
characteristics of Discrete Random Variables
Expected Value, Properties of Expected Value
11
Nov 18-22
2016
Apr 25-29
2016
12
May 02-06
2016
Binomial Distribution, Poisson Distribution
13
May 09-13
2016
Normal Distribution, Standard Normal Distribution, Z
Transformation, Standard Normal Distribution Table
Applications of Normal Distributions
14
May 16-20
2016
Overview
15
May 23-27
2016
3
4
10
Descriptive Statistics, Measures of Central Tendency Measures
for Ungrouped and Grouped Data
Measures of Central Dispersion Measures for Ungrouped and
Grouped Data, Chebyshev Theorem
Probability Concept, Random Experiment / Event, Sample
Space, Disjointness
Continuous Random Variable, Probability Density Function.
Numerical characteristics of continuos random variables.
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