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• Information on Degree Programmes COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistics * MT   262 4 4 4 5

 Prerequisites and co-requisites Recommended Optional Programme Components None

Language of Instruction Turkish Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Instructors
 Prof.Dr. SADULLAH SAKALLIOĞLU 1. Öğretim Grup:A Prof.Dr. SADULLAH SAKALLIOĞLU 2. Öğretim Grup:A

Assistants
Goals
To understand some continuous distributions, to teach sampling and sample selection methods, to analyze the data, measures of central tendency and dispersion are given, to teach the methods of sampling distributions and estimation, hypothesis tests, to apply tests based on chi-square tests.
Content
Gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Is able to prove Mathematical facts encountered in secondary school.
X
2
Recognizes the importance of basic notions in Algebra, Analysis and Topology
X
3
Develops maturity of mathematical reasoning and writes and develops mathematical proofs.
X
4
Is able to express basic theories of mathematics properly and correctly both written and verbally
X
5
Recognizes the relationship between different areas of Mathematics and ties between Mathematics and other disciplines.
X
6
Expresses clearly the relationship between objects while constructing a model
X
7
Draws mathematical models such as formulas, graphs and tables and explains them
X
8
Is able to mathematically reorganize, analyze and model problems encountered.
X
9
Knows at least one computer programming language
10
Uses effective scientific methods and appropriate technologies to solve problems
X
11
Has sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians
12
In addition to professional skills, the student improves his/her skills in other areas of his/her choice such as in scientific, cultural, artistic and social fields
X
13
Knows programming techniques and is able to write a computer program
14
Is able to do mathematics both individually and in a group.
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Normal Distribution, Standard Normal Distribution, Normal Approximation to the Binomial Distribution Required readings
2 Some Important Continuous Random Variables and Distributions, Problem Solving Required readings
3 Some Important Continuous Random Variables and Distributions, Problem Solving Required readings
4 Preparation of data, Frequency distribution, Graphical Representations Required readings
5 Measures of Central Tendency, Comparison between Central Tendency Required readings
6 Measures of Dispersion, Coefficient of Variation, Problem Solving Required readings
7 Some Properties of Sample Mean and Variance, Point Estimation, Confidence Interval Required readings
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 Determination of Sample Size, Confidence interval for variance Required readings
10 Confidence Interval for the Difference Between Two Means, Confidence Interval for the Difference Between Two Proportions Required readings
11 Hypotheses testing for mean, hypotheses testing for variance, hypothesis testing for equality of variances Required readings
12 Hypotheses testing for the Difference Between Two Means, hypotheses testing for the Difference Between Two Proportions Required readings
13 Goodness of fit tests Required readings
14 Chi-Square Test for Independence Required readings
15 Solving problem Review the topics discussed in the lecture notes and sources
16-17 Term Exams Written exam  