COURSE UNIT TITLE

: STATISTICS AND PROBABILITY II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTÖ 3006 STATISTICS AND PROBABILITY II COMPULSORY 2 2 0 4

Offered By

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR BERNA CANTÜRK GÜNHAN

Offered to

ELEMENTARY MATHEMATICS TEACHER EDUCATION
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

Learning Outcomes of the Course Unit

1   Will have conceptual knowledge of Normal Distribution
2   Will be able to make use of Normal Distribution.
3   Will be able to calculate normal approximation to Binomial, Poisson
4   Concepts related to Sampling Theory will be comprehended
5   Will be able to make use of Sampling Theory to solve relevant problems
6   Concepts related to Hypothesis Testing and Statistical Decision Making will be comprehand
7   Will be able to make use of Hypothesis Testing and Statistical Decision Making to solve relevant problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Normal Distribution
2 Normal Distribution Calculations
3 Central Limit Theory
4 Exercises
5 Sampling Theory -1
6 Sampling Theory -2
7 Sampling Theory -3
8 Midterm exam
9 Hypothesis Testing and Statistical Decision Making-1
10 Hypothesis Testing and Statistical Decision Making-2
11 Variance analysis
12 Ki-kare Analysis
13 Regresion
14 Correlation
15 Final Exam

Recomended or Required Reading

Istatistik: Metodlar ve Uygulamalar. Baykul, Y. Anı Yayıncılık.
Uygulamalı Istatistik-1. Serper, Ö. Ezgi Kitabevi.

Planned Learning Activities and Teaching Methods

lecture, question-answer, computer based.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FINS FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 +FINS * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Tutorials 13 2 26
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 103

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.113
LO.223
LO.323
LO.43
LO.523
LO.63
LO.723

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

Copyright 2012 DEÜ. BİD

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