COURSE UNIT TITLE

: STATISTICAL METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 4201 STATISTICAL METHODS ELECTIVE 4 0 0 7

Offered By

Mathematics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR ÖZLEM EGE ORUÇ

Offered to

Mathematics (Evening)
Mathematics

Course Objective

The main objective of this course is to acquaint students with some basic concepts in statistics. They will be introduced to some elementary statistical methods of analysis of data.

Learning Outcomes of the Course Unit

1   Know when and how to apply basic Statistical Inference ideas, Sampling distributions, including the Central Limit Theorem;
2   Appreciate the relationship between confidence intervals and tests of hypotheses
3   Know to apply Hypothesis Testing about One and Two Population Parameters
4   Know when and how to apply the Chi-Square Statistic to test for goodness of fit and for independence
5   Know when and how to apply basic Nonparametric Statistical Tests (Mann-Whitney, Wilcoxon, Spearman's Rank Correlation)
6   Know to apply Analysis of Variance
7   Know how to fit, check and use Simple Linear Regression models

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Statistical Inference and Sampling
2 Sampling Distributions (Z, Chi-square, t, F), Central Limit theorem
3 Inferences Based on a Single Sample: Estimation with Confidence Interval
4 Inferences Based on Two Samples: Estimation with Confidence Interval
5 Inferences Based on a Single Sample: Test of Hypotheses Testing
6 Inferences Based on Two Samples: Test of Hypotheses
7 Power of test
8 Mid-term Exam
9 Applications of chi-squared Statistic.
10 Analysis of Variance: Comparing More Than Two Means Introduction to Simple Linear Regression
11 Simple Linear Regression
12 Multiple Regression
13 Nonparametric Statistics(Sign Test, Run Test, Wilcoxon signed-rank test)
14 Nonparametric Statistics(Mann Withney test, Kruskal-Wallis test) Elementary time series analysis, trends, seasonality, forecasting

Recomended or Required Reading

Textbook(s): James T. McClave , Feank H. Dietrich,II, and Terry Sincich, Statistics 9th Edition, Prentice Hall, ISBN 0-13-471542-X.
Supplementary Book(s): 1.Freund, Mathematical Statistics, 5th Edition, Prentice Hall, ISBN 0-13-565185-9

Planned Learning Activities and Teaching Methods

The course consists of lecture and class discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

Student responsibilities :
Reading the related parts of the course material each week, attending the course and participating in class discussions are the requirements of the course. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at www.fef.deu.edu.tr

Contact Details for the Lecturer(s)

DEU. Faculty Sciences Department of Statistics B113
e-mail: ozlem.ege@deu.edu.tr
Tel: 0232 3018558

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparations before/after weekly lectures 12 4 48
Preparation for midterm exam 1 30 30
Preparation for final exam 1 35 35
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 169

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1545
LO.2545
LO.3545
LO.4545
LO.5545
LO.6545
LO.7545

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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