COURSE UNIT TITLE

: STATISTICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
OME 3005 STATISTICS COMPULSORY 2 0 0 2

Offered By

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR BERNA CANTÜRK GÜNHAN

Offered to

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Course Objective

This lesson is aim to teach student teachers descriptive statistics, the point estimate (confidence limits, confidence interval for means), hypothesis tests-decision, variance analysis, chi-square analysis, regression and correlation, data analysis with packet programs.

Learning Outcomes of the Course Unit

1   They can perform descriptive statistics.
2   They can perform estimate of parameters.
3   They can perform hypothesis tests.
4   They can perform variance analysis.
5   They can research coherence among the variables.
6   They can forecast and interpret the relationship among the variables.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 To arrange and to create frequency table for a data group
2 To display charts of a data group
3 Measures of central tendency
4 Measures of distribution
5 Estimate of parameter
6 Estimate of parameter
7 Hypothesis tests
8 Course overview, evaluation and midterm, examination
9 Hypothesis tests
10 Hypothesis tests
11 Variance analysis
12 Chi-square analysis
13 Correlation
14 Regression
15 Final Exam

Recomended or Required Reading

Akdeniz, F. (2006). Olasılık ve Istatistik. Ankara: Nobel Yayınevi
Hasgür, I. (2002) . Matematiksel Istatistik. Seçkin Yayıncılık.
Tekin, V. N. (2006) Istatistiğe Giriş. Seçkin Yayıncılık
Büyüköztürk, Ş. (2006). Sosyal bilimler için veri analizi el kitabı: Istatistik araştırma deseni, SPSS uygulamaları ve yorum. 6. Baskı. Pegem Yayıncılık, Ankara.
Köklü, N., Büyüköztürk, Ş. ve Bökeoğlu, Ö.Ç. (2006). Sosyal bilimler için istatistik. 2. Baskı. Pegem Yayıncılık

Planned Learning Activities and Teaching Methods

Lecture, Discussion, Question-Answer.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Midterm
2 FN Semester final exam
3 BNS BNS Student examVZ * 0.40 + Student examFN * 0.60
4 BUT Make-up note
5 BBN End of make-up grade Student examVZ * 0.40 + Student examBUT * 0.60


Further Notes About Assessment Methods

Midterm and final exams are determined according to the weekly course content within the scope of the learning outcomes of the course.

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

berna.gunhan@deu.edu.tr
Hasan Ali Yücel Building, 418
12324

Office Hours

Monday 11:00-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 2 2
Preparation for final exam 1 2 2
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 60

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.133433
LO.234433
LO.344455
LO.444545
LO.544444
LO.644444