ECO2062 Applied StatisticsBahçeşehir UniversityDegree Programs MECHATRONICS (TURKISH)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MECHATRONICS (TURKISH)
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ECO2062 Applied Statistics Spring
Fall
3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Associate (Short Cycle)
Mode of Delivery: Hybrid
Course Coordinator : Dr. Öğr. Üyesi SERKAN YEŞİLYURT
Course Lecturer(s): Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN
Prof. Dr. İPEK ALTINBAŞAK FARİNA
Recommended Optional Program Components: None
Course Objectives: To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics

Learning Outcomes

The students who have succeeded in this course;
1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion

2. To construct and interpret confidence interval estimates for the mean and the proportion

3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion


4. How to use hypothesis testing for comparing the difference between the means and proportion of populations


5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations

6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation


7. How to use regression analysis to investigate the relationship between variables.

Course Content

Sampling and Sampling Distributions

Sampling Distribution Properties

Point and Interval Estimates
Confidence Interval for population mean

Confidence Intervals for the
Population Proportion, π
Fundamentals of Hypothesis Testing: One-Sample Tests
Hypothesis Testing for Mean and Proportion
Two-Sample Tests for Mean

Two-Sample Tests for Proportion

One-Way Analysis of Variance

Two-Way Analysis of Variance

Chi-Square Tests and Nonparametric Tests

Introduction to Simple Linear Regression


Weekly Detailed Course Contents

Week Subject Related Preparation
1) Sampling and Sampling Distributions
2) Point and Interval Estimates
3) Sampling Distribution Properties
4) Confidence Interval for population mean
5) Confidence Intervals for the Population Proportion, π
6) Fundamentals of Hypothesis Testing: One-Sample Tests
7) Hypothesis Testing for Mean and Proportion
8) Review
9) Two-Sample Tests for Mean
10) Two-Sample Tests for Proportion
11) Analysis of Variance
12) Chi-Square Tests and Nonparametric Tests
13) Introduction to Simple Linear Regression
14) Review

Sources

Course Notes / Textbooks: Basic Business Statistics Concepts and Applications
Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal.
References: .

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 20
Midterms 1 % 35
Final 1 % 45
Total % 100
PERCENTAGE OF SEMESTER WORK % 55
PERCENTAGE OF FINAL WORK % 45
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 16 3 48
Study Hours Out of Class 14 7 98
Midterms 1 2 2
Final 1 2 2
Total Workload 150

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To improve fundamental computer knowledge, to encourage students using office and package programs.
2) Ability to have and use of fundamental mathematics knowledge and skills the usage of relevant materials.
3) Ability to recognize general structures of machine equipments and the features of shaping
4) Ability to grasp manufacturing processes and cutting tool materials, materials, statics, mechanics and fluid science fundemantal knowledge.
5) Ability to draw assembly and auxilary devices as well as to draw whole or details of a system.
6) Ability to have a knowledge of fundemantal manufacturing process such as turning, milling, punching,grinding and welding techniques and to have a self esteem in order to work behind the bench.
7) Ability to do computer aided design and write program on digital benches.
8) Ability to prepare project report, follow up project process and implement projects.
9) ability to learn the areas of usage of electronic circuit components. Ability to grasp and write programs for micro controllers and for their components. Ability to design relevant circuits.
10) Ability to understand the electric motors principles and AC-DC analysis
11) Ability to gain a dominaion on visual programming
12) Having the ability to communicate efficiently in verbal and written Turkish, to know at least one foreign language in order to communicate with the colleagues and customers.