COURSE UNIT TITLE

: STATISTIC I

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 1015 STATISTIC I COMPULSORY 4 0 0 7

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR IDIL YAVUZ

Offered to

Statistics
Statistics(Evening)

Course Objective

The objective of the course is to introduce fundamental elements of statistics and probability, graphical and numerical methods for describing data sets, how to calculate probability, how to form probability distributions for both discrete and continuous random variables and how to calculate mathematical expectation and moments.

Learning Outcomes of the Course Unit

1   Describing fundamental elements of statistics
2   Distinguishing types of data
3   Being able to use graphical methods and calculate descriptive statistics to summarize data
4   Describing the fundamental elements of probability
5   Calculating probabilities using probability functions of discrete random variables
6   Calculating probabilities using probability functions of continuous random variables
7   Calculating expected value and variance of discrete random variables
8   Calculating expected value and variance of continuous random variables

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The Science of Statistics, Types of Statistical Applications, Fundemantal Elements of Statistics
2 Types of Data, Collecting Data
3 Graphical Methods for Describing Qualitative and Quantitative Data
4 Numerical Measures for Central Tendency
5 Numerical Measures for Variability
6 Numerical Measures for Relative Standing, Box plots, z-scores
7 Fundamentals of Probability
8 Calculating Probability
9 Discrete Random Variables, Probability Distributions, Cumulative Distribution Functions
10 Discrete Random Variables, Expectation and Variance
11 Continuous Random Variables, Probability Distributions, Cumulative Distribution Functions
12 Continuous Random Variables, Expectation and Variance, Piecewise Functions
13 Normal Distribution
14 Normal Distribution

Recomended or Required Reading

Textbook(s):
J.T. McClave and T. Sincich, Statistics, 12th Edition, Prentice-Hall, 2011.
Supplementary Book(s):
P. Newbold, W. L. Carlson, B. Thorne, Statistics for Business and Economics, 7th Edition, Pearson Education, 2010.

Planned Learning Activities and Teaching Methods

Lectures and problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student.Students must attend lectures on time and follow timelines of assigned in-class applications. 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 https://fen.deu.edu.tr/en/

Contact Details for the Lecturer(s)

DEU, Faculty of Science, Department of Statistics
e-mail: idil.yavuz@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 43 43
Preparation for final exam 1 53 53
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 170

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.155445
LO.255445
LO.355445
LO.455443
LO.555443
LO.655443
LO.755443
LO.855443