FBE 682
Statistical Data Analysis
(Spring Semester)
2 hours theory, 2 hours application, 3 credits
Lecturer: Prof. Dr. Serdar KURT( serdar.kurt@deu.edu.tr)
Assistant : Dr. Neslihan DEMİREL (neslihan.ortabas@deu.edu.tr)
I. PREREQUISITES
: Non
II. TEXTBOOK
: James T.McClave, Frank H. Dietrich, Tery Sinsich, Statistics, Prentice Hall,
1997
Referans Books
: - Ruth Meyer, David Krueger, 1998, A MINITAB Guide to Statistics: Prentice
Hall.
- James T. McCave, P.Geoge Benson, Statistics For Business and Economis,
Prentice Hall, 1994
III. COURSE OBJECTIVES
The objective of this course is to cover an intermediate level of Statistical Methods. In this
course, Statistics, Terminology of Statistics and Applications of Statistical Methods will be covered. By
the end of this course, students will be able to organize and analyze observational and experimental
data statistically by using a Statistic sofware such as Minitab. This course will enable students to analyze
data by using statistical methods which they will need to use during their graduate study.
IV. COURSE OUTLINE
WEEK 1 - 2
WEEK 3
WEEK 4
WEEK 5
WEEK 6
Introduction to Minitab
Accessing Minitab
Minitab Worksheet
Menu and Session Commands
Entering Data from Keyboard
Doing Arithmetics
Introduction and Data Collection
Explain key definitions
Data collection methods
Different sampling methods
Random numbers table
Types of data and levels of measurement
Presenting Data in Tables and Charts
Stem-and-leaf
Histogram
Bar charts, pie charts and scatter diagrams
Numerical Descriptive Measures
Mean, median, mode
Range, variance, standard deviation and coefficient of variation
Chebyshev and Emprical Rule
Correlation coefficient
Basic Probability
Basic probability concepts and definitions
Contingency tables
Bayes’ Theorem
WEEK 7
WEEK 8
WEEK 9
WEEK 10-11
WEEK 12
WEEK 13
WEEK 14
Some Important Discrete Probability Distributions
Binomial
Hypergeometric
Poisson
The Normal Distributions and Other Continuous Distributions
Normal
Standardized Normal
Uniform
Exponential
Confidence Interval Estimation
Z dist.
t dist.
One Sample Test of Hypothesis
null and alternative hypotheses
Type I and Type II errors
Two Sample Tests
Two population means : independent sampling
Two population means : related samples
Two population proportions
Two population variances
Chi-Square Tests and Nonparametric Tests
2
test for the difference between two proportions
2
test for the differences in more than two proportions
2
test of independence
Wilcoxon rank sum test
Kruskal-Wallis rank test
Simple Linear Regression
Simple linear regression equation
Residuals
Assumptions
Measures of variation
Analysis of Variance
Fundementals of Desing of Experiment
The Completely Randomized Desings
Randomized Block Desings
Factorial Desings
V. GRADING
There will be 1 mid-term examination and the final examination. Avarage of mid-term
examinations 40% and final examination 60% of the resulting grade.
Short Course Outline :
Introduction to MINITAB. Introduction and Data Collection. Presenting Data in Tables and
Charts. Numerical Descriptive Measures. Basic Probability. Some Important Discrete Probability
Distributions. The Normal Distributions and Other Continuous Distributions. Confidence Interval
Estimation. One Sample Test of Hypothesis. Two Sample Tests. Chi-Square Tests and Nonparametric
Tests. Simle Lineer Regression. Design of Experiments and Analysis of Variance.
Türkçe Kısa İçerik :
Minitaba Giriş. Veri Toplama. Tablo ve Grafikler ile Verinin Sunumu. Tanımlayıcı İstatistikler.
Temel Olasılık. Kesikli Olasılık Dağılımları. Normal Dağılım ve Sürekli Dağılımlar. Güven Aralık Tahminleri.
Tek Örneklem Hipotez Testi. İki Örneklem Testleri. Ki-Kare Testi ve Parametrik Olmayan Testler. Basit
Doğrusal Regresyon. Deney Düzenleme ve Varyans Çözümlemesi.