Students are aimed to understand the logic of inferential statistics and to apply hypothesis testing and regression analysis for simple business problems.
Course Content
This course contains; Introduction to Hypothesis Testing , Five - Step Procedure for Hypothesis Testing
,z and t Tests About a Population Mean, z Tests About a Population Proportion
,Sample Size Determination, The Chi–Square Distribution and Statistical Inference for Population Variance
, One – Sample Hypothesis Testing Using EXCEL and SPSS,Statistical Inference Based On Two Samples ,Comparing Two Population Proportions and Variances by Using Large Independent Samples
,Two Sample HypothesisTesting Using Excel and SPSS
,Experimental Design and Analysis of Variance
,Two – Way Analysis of Variance
,Chi – Square Tests
,Simple Linear Regression Analysis,Regression Analysis - Confidence and Prediction Intervals
,Simple Coefficients of Determination and Correlation, An F–Test for the Model, Residual Analysis
.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Will be able to explain the logic of hypothesis tests.
10, 16, 6, 9
A, E, G
1.1 Explains the place of hypothesis testing in inferential statistics
1.2 Creates null and alternative hypotheses
1.3 Explains Type I and Type II errors and their probabilities
2. Will be able to explain one-sample and two-sample hypothesis tests.
10, 16, 6, 9
A, E, G
2.1 Uses critical values and p-values to perform a z test and t test about a population mean
2.2 Compares two population means when the samples are independent
2.3 Compares two population means when the data are paired
3. Will be able to use computer programs to perform one-sample hypothesis testing and two-sample hypothesis testing.
10, 16, 6, 9
A, E, G
3.1 Performs one-sample tests and two–sample tests using Excel
3.2 Performs one–sample tests and two–sample tests using SPSS
4. Will be able to explain variance analysis.
10, 16, 6, 9
A, E, G
4.1 Explains the basic terminology and concepts of experimental design
4.2 Compares several different population means by using a one-way analysis of variance
4.3 Compares treatment effects and block effects by using a randomized block design
5. Will be able to define chi-square tests.
10, 16, 6, 9
A, E, G
5.1 Describes the properties of the Chi–square distribution
5.2 Uses Chi-square table
6. Will be able to use simple regression analysis.
10, 16, 6, 9
A, E, G
6.1 Explains the simple linear regression model
6.2 Describes the assumptions of simple linear regression
6.3 Calculates simple coefficient of determination and simple correlation coefficient
z and t Tests About a Population Mean, z Tests About a Population Proportion
4
Sample Size Determination, The Chi–Square Distribution and Statistical Inference for Population Variance
5
One – Sample Hypothesis Testing Using EXCEL and SPSS
6
Statistical Inference Based On Two Samples
7
Comparing Two Population Proportions and Variances by Using Large Independent Samples
8
Two Sample HypothesisTesting Using Excel and SPSS
9
Experimental Design and Analysis of Variance
10
Two – Way Analysis of Variance
11
Chi – Square Tests
12
Simple Linear Regression Analysis
13
Regression Analysis - Confidence and Prediction Intervals
14
Simple Coefficients of Determination and Correlation, An F–Test for the Model, Residual Analysis
Resources
[1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022
[2] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011
[3] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018
[4] Lecture Notes
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines the theoretical issues in the field of information and management.
2
Describes the necessary mathematical and statistical methods in the field of information and management.
X
3
Uses at least one computer program in the field of information and management.
X
4
Sustains proficiency in a foreign language requiredor information and management studies.
5
Prepares informatics/software projects and work in a team.
6
Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.7. Uses theoretical and practical expertise in the field of information and management
7
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills.
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
X
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of community involvement adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
X
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
7
5
35
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
2
17
34
Midterm Exam
0
0
0
General Exam
1
39
39
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
150
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(150/30)
5
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
STATISTICS II
-
Spring Semester
3+0
3
5
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
First Cycle (Bachelor's Degree)
Course Type
Required
Course Coordinator
Assist.Prof. Esra BAYTÖREN
Name of Lecturer(s)
Prof.Dr. Elif NUROĞLU
Assistant(s)
Aim
Students are aimed to understand the logic of inferential statistics and to apply hypothesis testing and regression analysis for simple business problems.
Course Content
This course contains; Introduction to Hypothesis Testing , Five - Step Procedure for Hypothesis Testing
,z and t Tests About a Population Mean, z Tests About a Population Proportion
,Sample Size Determination, The Chi–Square Distribution and Statistical Inference for Population Variance
, One – Sample Hypothesis Testing Using EXCEL and SPSS,Statistical Inference Based On Two Samples ,Comparing Two Population Proportions and Variances by Using Large Independent Samples
,Two Sample HypothesisTesting Using Excel and SPSS
,Experimental Design and Analysis of Variance
,Two – Way Analysis of Variance
,Chi – Square Tests
,Simple Linear Regression Analysis,Regression Analysis - Confidence and Prediction Intervals
,Simple Coefficients of Determination and Correlation, An F–Test for the Model, Residual Analysis
.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Will be able to explain the logic of hypothesis tests.
10, 16, 6, 9
A, E, G
1.1 Explains the place of hypothesis testing in inferential statistics
1.2 Creates null and alternative hypotheses
1.3 Explains Type I and Type II errors and their probabilities
2. Will be able to explain one-sample and two-sample hypothesis tests.
10, 16, 6, 9
A, E, G
2.1 Uses critical values and p-values to perform a z test and t test about a population mean
2.2 Compares two population means when the samples are independent
2.3 Compares two population means when the data are paired
3. Will be able to use computer programs to perform one-sample hypothesis testing and two-sample hypothesis testing.
10, 16, 6, 9
A, E, G
3.1 Performs one-sample tests and two–sample tests using Excel
3.2 Performs one–sample tests and two–sample tests using SPSS
4. Will be able to explain variance analysis.
10, 16, 6, 9
A, E, G
4.1 Explains the basic terminology and concepts of experimental design
4.2 Compares several different population means by using a one-way analysis of variance
4.3 Compares treatment effects and block effects by using a randomized block design
5. Will be able to define chi-square tests.
10, 16, 6, 9
A, E, G
5.1 Describes the properties of the Chi–square distribution
5.2 Uses Chi-square table
6. Will be able to use simple regression analysis.
10, 16, 6, 9
A, E, G
6.1 Explains the simple linear regression model
6.2 Describes the assumptions of simple linear regression
6.3 Calculates simple coefficient of determination and simple correlation coefficient
z and t Tests About a Population Mean, z Tests About a Population Proportion
4
Sample Size Determination, The Chi–Square Distribution and Statistical Inference for Population Variance
5
One – Sample Hypothesis Testing Using EXCEL and SPSS
6
Statistical Inference Based On Two Samples
7
Comparing Two Population Proportions and Variances by Using Large Independent Samples
8
Two Sample HypothesisTesting Using Excel and SPSS
9
Experimental Design and Analysis of Variance
10
Two – Way Analysis of Variance
11
Chi – Square Tests
12
Simple Linear Regression Analysis
13
Regression Analysis - Confidence and Prediction Intervals
14
Simple Coefficients of Determination and Correlation, An F–Test for the Model, Residual Analysis
Resources
[1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022
[2] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011
[3] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018
[4] Lecture Notes
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines the theoretical issues in the field of information and management.
2
Describes the necessary mathematical and statistical methods in the field of information and management.
X
3
Uses at least one computer program in the field of information and management.
X
4
Sustains proficiency in a foreign language requiredor information and management studies.
5
Prepares informatics/software projects and work in a team.
6
Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.7. Uses theoretical and practical expertise in the field of information and management
7
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills.
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
X
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of community involvement adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
X
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.
