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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
BASIC STATISTIC KAL534 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) will improve their ability of statistical data classifying, processing, summarizing and interpreting
2) will gain ability of information generation, estimation and reporting
3) will be using sampling distributions in confidence intervals and sampling distributions, gaining ability of statistical inference
4) will be determining relationship between variables in research studies
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITION
COURSE CONTENTS
WEEKTOPICS
1st Week Random Sampling, Some Important Statistics
2nd Week Concept of Sampling distribution, Sampling Distributions of Means and S2
3rd Week t-Distribution, F-Distribution
4th Week One- and Two-Sample Estimation Problems (for a Mean and Mean Differences)
5th Week One- and Two-Sample Estimation Problems (for a Proportion and Ratio of Proportions)
6th Week One- and Two- Sample Hypothesis Testing (for a Variance and the Ratio of Variances), Maximum Likelihood Estimation
7th Week Hypothesis Testing, Type I and II Errors. Usage of P-Value,
8th Week Midterm
9th Week One- and Two- Sample Hypothesis Testing (for a Mean and Mean Differences)
10th Week One- and Two-Sample Hypothesis Testing (for a Variance and the Ratio of Variances)
11th Week Goodness of fit, Independence and Homogeneity Tests
12th Week Simple Linear Regression and Correlation
13th Week Analysis of Variance Application Lack-of-fit Test
14th Week Multiple Linear Regression Analysis and One-Factor Experiments
RECOMENDED OR REQUIRED READING(1) Walpole R.E., Myers R.H. Myers Sh. L. Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall. 7th edition;
(2) Akdeniz F. "Olasılık ve İstatistik", Nobel Kitabevi, 13. Baskı, 2007.
(3) Erbaş S. O. "Olasılık ve İstatistik", Gazi Kitabevi.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Problem Solving,Other
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term135
Assignment315
Quiz315
Total(%)65
Contribution of In-term Studies to Overall Grade(%)65
Contribution of Final Examination to Overall Grade(%)35
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz3412
Individual or group work1414196
Preparation for Final exam12020
Course hours14342
Preparation for Midterm exam12020
Laboratory (including preparation)
Final exam122
Homework3618
Total Workload312
Total Workload / 3010,4
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4
K1  X   X   X   X
K2  X   X   X   X
K3  X   X   X   X
K4       
K5  X   X   X   X
K6