Department of statistics and information Amedi Technical

Ministry of Higher Education and Scientific research

Directorate of Quality Assurance and Accreditation ینخشبهتی دڵنیایی جۆری و متمانهرایهبهڕێوهبه

Department of statistics and information

Amedi Technical Institute

Duhok Polytechnic University

Subject: Applied Statistics and SPSS

Course Book: Year 2

Lecturer's name: Azad Adil Shareef

Academic Year: 2018 - 2019



Course Book

1. Course name Applied Statistics and SPSS

2. Lecturer in charge Azad Adil Shareef

3. Department/ College Statistics and Information

4. Contact e-mail: [email protected] Tel: (optional)

5. Time (in hours) per week Theory: 2 Practical: 2

6. Office hours Students should check the lecturer’s timetable

7. Course code

8. Teacher's academic profile

Iam as assistant lecturer in the statistics field in the Statistics Department at the College of Administration and Economics in the Dohuk University for morning study. • Bachelor of Computer Science and Mathematics / Department of Statistics / University of Mosul 2001-2002 / 2004-2005 • Master of Statistics / College of Science / University of Nottingham / United Kingdom / 2012-2013 Specialization in the of information theory and statistics and general competence in statistics. • I have taught many subjects (Principles of Statistics, Computer Applications, Index Numbers and Time Series, SPSS and Probability Theory) I have taught at the Polytechnic University (IT / Duhok) and the Polytechnic University in Sheikan for the Business Administration, Accounting and IT departments, and I have worked at the Computer Center at Dohuk University as IT Administrator since 2005)

9. Keywords

10. Course overview:

Statistical analysis is one of the requirements of scientific development in various scientific fields, and the complex issues and practical applications had to be used as a computer accurate and quick way to complete the analysis of these issues, hence this article, which deals with the identification of one of the statistical software that performs statistical analyses of different Data types. 11. Course objective:

The objective of this course is to provide the student in this stage and give



them some information on the subject of applied statistics and SPSS program

by applying the most important statistical and mathematical methods in

addressing all life problems and understanding the scientific bases of this

science. The most important of these is the concept of simple correlation,

simple linear regression and multiple linear regression, analysis of variance,

hypothesis testing, Decision-making, policy-making and forecasting

(knowledge of future be heavier of variables.)

The aim of giving this article is to make the student skilful in the theoretical

and practical characteristics of the applied statistics and this means

Be able to estimate an appropriate model.1-

be able to interpret the results-2

3- be aware of the shortcomings of the results and how to address them

The goal of this course is to increase knowledge and necessary skills of participants on the

use of SPSS and enable them to make the most of this powerful software package while

allowing them to work independently with SPSS on their own data and provide a robust

foundation for advanced data analysis work. It is to provide some information about

statistics and how to apply it in the computer by using SPSS program and using some

statistical methods especially in term of measures that includes central tendency, dispersion

measures, compute variables, correlation and regression with coefficient of variation.

To introduce students to the basic practice of statistics by using SPSS Statistics, a

statistical software program used for data management and data analysis and learn how to

perform basic statistical analyses. To introduce participants to the use of advanced SPSS

for analysing project data for reporting purposes focusing on database management tasks,



descriptive statistics and graphics, and basic inferential statistics for comparisons and

correlations.

12. Student's obligation Students must obligate to the following:

Attendance Homework

.Quiet inside the hall not to delay the time of the lecture

(Quiz) Daily examinations Discuss some questions related to the subject with the teacher of the topics, especially if the material is incomprehensible

13. Forms of teaching .Data show

Power point Board (blue pen, black pen and red pen) to rely on brainstorming method through open discussion on some topics within the scientific subject Reliance on resources in the field of statistical analysis

14. Assessment scheme 1 – theoretical and practical examinations 30 degrees 2 - Daily examinations 5 degrees 3 - Writing reports, attendance and absence of students 5 degrees 4- The final exam 60 degrees

15. Student learning outcome: We find that through the method used in the lecture and education that there is good benefit to the student through the active participation in the lecture seminars and the effectiveness of the student during the lecture, in addition to good queries, and that the student was committed during the academic year in terms of participation and permanence and examinations and commitment to everything that is scheduled Within the current academic year.

16. Course Reading List and References:

خاشع محمود الراوي ) تحليل الانحدار( . -1



. يحيى سعد زغلول )مقدمة في الاحصاء التطبيقي( -2

وتحليل التجارب الزراعية( خاشع محمود الراوي )تصميم -3 (،د.محفوظ جوده .2008) SPSSالتحليل الاحصائي الاساسي باستخدام -4

(،د.محفوظ جوده .2008) SPSSباستخدام لمتقدمالتحليل الاحصائي ا -5

( ، د.محمد بلال ،عباس الطلافحة .2006) SPSSالنظام الاحصائي -6

(، د.حسين علي 2006) SPSSتحليل ونمذجة البيانات باستخدام الحاسوب ،تطبيق شامل للحزمة -7

،د. غالب عوض .

(،محمد صبحي ، محمد عوض .2004) SPSSمقدمة في الاحصاء:مبادئ وتحليل باستخدام -8

د.خاشع الراوي . ، (1984) لاحصاءاالمدخل الى -9

د أحمد ود.وليد السيفو.(،د.عي2009مبادئ التحليل الكمي ) -10

11- www.spss.com

17. The Topics: Theoretical Lecturer's name

Simple Correlation

Correlation coefficient

Application (Example)

Azad Adil Shareef Week 1

Simple linear regression model

Description of data and model


Basic assumptions about the distribution of error Azad Adil Shareef Week 3

• Estimation of regression parameters using the Least

Squares Method




• Application examples on the simple linear regression

model


• Prediction and calculating residuals Azad Adil Shareef Week 6

• Create a table of variance analysis Azad Adil Shareef Week 7

• Test the assumptions for test F and calculate the

coefficient of Determination


• Application examples Azad Adil Shareef Week 9

• Estimating the parameters of the simple linear model

using matrices


• Multiple linear regression model Azad Adil Shareef Week 11

• Basic assumptions of the model Azad Adil Shareef Week 12

• Estimating parameters of multiple linear model using

matrices

Azad Adil Shareef Week 13 &14



• Create a table of variance analysis Azad Adil Shareef Week 15

• Path analysis Azad Adil Shareef Week 16

• Relationship between regression analysis and path

analysis


• Preliminary concepts and basic design experiment Azad Adil Shareef Week 18&19

• Complete random design CRD Azad Adil Shareef Week 20

Analysis of variance for CRD Azad Adil Shareef Week 21&22

• Design of complete random sectors Azad Adil Shareef Week 23&24

Analysis of variance of random sectors Azad Adil Shareef Week 25&26

• Latin Square design Azad Adil Shareef Week 27&28



• Analysis of variance of the Latin square Azad Adil Shareef Week 29&30

Review Azad Adil Shareef Week 31

18. Practical Topics (If there is any)

• SPSS definition

• Run the SPSS program

• Program windows

• Main menu bar SPSS system.

• SPSS toolbar

• Characteristics of the variables that the SPSS system

deals with.

• Data entry process in SPSS.

Azad Adil Shareef Week1 Week2 Week3

• File menu

• Edit menu

• View menu

• Data menu

•Transform menu

• Analysis menu

Azad Adil Shareef Week4 Week5 Week 6 Week 7



Graphic Presentation

• Bar chart

• Pie Chart

• Line Chart

• Histogram

• Scatter plot

Azad Adil Shareef Week8 Week9

Measures of central tendency, frequency

tables and relative frequencies

• Arithmetic mean

• Median

• Mode

Azad Adil Shareef Week10

Dispersion Measures

• Range

• Standard deviation

• Variance

• Maximum value

• Minimum value

Azad Adil Shareef Week11



Transforming the Direct Data Using the

Transform menu

• Using the SPSS computer to create new variables and

calculate the probability and tabular statistical values.

• Recoding data.

• Sorting data.

• Estimate Missing values.

Azad Adil Shareef Week12 Week13 Week14 Week 15

Statistical analyses are commonly used

and applied

Analytical correlation and regression:

• Simple linear correlation and partial correlation.

• Linear regression (simple and multiple).

• Nonlinear regression.

Azad Adil Shareef Week16 Week 17 Week18 Week19 and 20

Hypotheses testing and making statistical

comparisons

• T test for one sample.

• T test for independent samples.

• T test for non-independent samples.

• Analysis of variance, one way, and higher levels.

Azad Adil Shareef Week21 Week 22 Week 23 Week24 Week 25 and 26



Analysis of the questionnaire form

• Input data of the questionnaire form.

• Analysis of the questionnaire form

Azad Adil Shareef Week27 t0 30

19. Examinations: 1. Compositional: In this type of exam the questions usually starts with Explain how, What are the reasons for…?, Why…?, How….? With their typical answers Examples should be provided

2. True or false type of exams:

In this type of exam a short sentence about a specific subject will be provided, and then students will comment on the trueness or falseness of this particular sentence. Examples should be provided

3. Multiple choices: In this type of exam there will be a number of phrases next or below a statement, students will match the correct phrase. Examples should be provided.

20. Extra notes: Here the lecturer shall write any note or comment that is not covered in this template and he/she wishes to enrich the course book with his/her valuable remarks.

21. Peer review ڵ ی هاوهوهپێداچوونه This course book has to be reviewed and signed by a peer. The peer approves the contents of your course book by writing few sentences in this section. (A peer is person who has enough knowledge about the subject you are teaching, he/she has to be a professor, assistant professor, a lecturer or an expert in the field of your subject).

ند بکات و سهپه کهکانی کۆرسهتهڕۆکی بابهیر بکرێت و ناوهسه وهکادیمیهڵێکی ئهن هاوهلایهبێت لهده م کۆرسبووکهئه

.ر بکاتسهو واژووی له کهڕۆکی کۆرسهر شیاوی ناوهسهک بنووسێت لهیههشند ووجه .بێتمتر نهمامۆستا که ی زانستی لهبیت پلهو ده کهر کۆرسهسهبێت لهزانیاری هه که یهسهو کهڵ ئهوهها

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Department of statistics and information Amedi Technical